Results for 'neighbor methods'

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  1.  75
    Neighbor Similarity Based Agglomerative Method for Community Detection in Networks.Jianjun Cheng, Xing Su, Haijuan Yang, Longjie Li, Jingming Zhang, Shiyan Zhao & Xiaoyun Chen - 2019 - Complexity 2019:1-16.
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  2.  2
    Deep Large Margin Nearest Neighbor for Gait Recognition.Wanjiang Xu - 2021 - Journal of Intelligent Systems 30 (1):604-619.
    Gait recognition in video surveillance is still challenging because the employed gait features are usually affected by many variations. To overcome this difficulty, this paper presents a novel Deep Large Margin Nearest Neighbor (DLMNN) method for gait recognition. The proposed DLMNN trains a convolutional neural network to project gait feature onto a metric subspace, under which intra-class gait samples are pulled together as small as possible while inter-class samples are pushed apart by a large margin. We provide an extensive (...)
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  3.  6
    A novel deep learning-based brain tumor detection using the Bagging ensemble with K-nearest neighbor.G. Komarasamy & K. V. Archana - 2023 - Journal of Intelligent Systems 32 (1).
    In the case of magnetic resonance imaging (MRI) imaging, image processing is crucial. In the medical industry, MRI images are commonly used to analyze and diagnose tumor growth in the body. A number of successful brain tumor identification and classification procedures have been developed by various experts. Existing approaches face a number of obstacles, including detection time, accuracy, and tumor size. Early detection of brain tumors improves options for treatment and patient survival rates. Manually segmenting brain tumors from a significant (...)
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  4.  10
    Learning to neighbor? Service-learning in context.Mary-Ellen Boyle - 2007 - Journal of Academic Ethics 5 (1):85-104.
    Service-learning has received a great deal of attention in the management education literature over the past decade, as a method by which students can acquire moral and civic values as well as gain academic knowledge and practice real-world skills. Scholars focus on student and community impact, curricular design, and rationale. However, the educational environment (“context”) in which service-learning occurs has been given less attention, although experienced educators know that the classroom is hardly a vacuum and that students learn a great (...)
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  5.  5
    Design and Evaluation of Outlier Detection Based on Semantic Condensed Nearest Neighbor.Nagaraju Devarakonda & M. Rao Batchanaboyina - 2019 - Journal of Intelligent Systems 29 (1):1416-1424.
    Social media contain abundant information about the events or news occurring all over the world. Social media growth has a greater impact on various domains like marketing, e-commerce, health care, e-governance, and politics, etc. Currently, Twitter was developed as one of the social media platforms, and now, it is one of the most popular social media platforms. There are 1 billion user’s profiles and millions of active users, who post tweets daily. In this research, buzz detection in social media was (...)
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  6.  7
    Link Prediction Model for Weighted Networks Based on Evidence Theory and the Influence of Common Neighbours.Miaomiao Liu, Yang Wang, Jing Chen & Yongsheng Zhang - 2022 - Complexity 2022:1-16.
    A link prediction model for weighted networks based on Dempster–Shafer evidence theory and the influence of common neighbours is proposed in this paper. First, three types of future common neighbours and their topological structures are proposed. Second, the concepts of endpoint weight influence, link weight influence, and high-strength node influence are introduced. Then, the similarity based on the impacts of current common neighbours and FCNs is defined, respectively. Finally, the two similarity indices are fused by the DS evidence theory. This (...)
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  7.  10
    A Novel Index Method for K Nearest Object Query over Time-Dependent Road Networks.Yajun Yang, Hanxiao Li, Junhu Wang, Qinghua Hu, Xin Wang & Muxi Leng - 2019 - Complexity 2019:1-18.
    Knearest neighbor search is an important problem in location-based services and has been well studied on static road networks. However, in real world, road networks are often time-dependent; i.e., the time for traveling through a road always changes over time. Most existing methods forkNN query build various indexes maintaining the shortest distances for some pairs of vertices on static road networks. Unfortunately, these methods cannot be used for the time-dependent road networks because the shortest distances always change (...)
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  8.  5
    Image retrieval based on weighted nearest neighbor tag prediction.Xiancheng Ding, Dayang Jiang & Qi Yao - 2022 - Journal of Intelligent Systems 31 (1):589-600.
    With the development of communication and computer technology, the application of big data technology has become increasingly widespread. Reasonable, effective, and fast retrieval methods for querying information from massive data have become an important content of current research. This article provides an image retrieval method based on the weighted nearest neighbor label prediction for the problem of automatic image annotation and keyword image retrieval. In order to improve the performance of the test method, scientific experimental verification was implemented. (...)
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  9.  3
    The Neighbor, the Natural History of Human Contacts. [REVIEW]Helen Adler - 1904 - Journal of Philosophy, Psychology and Scientific Methods 1 (13):355-358.
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  10.  6
    A Prediction Method of Electromagnetic Environment Effects for UAV LiDAR Detection System.Min Huang, Dandan Liu, Liyun Ma, Jingyang Wang, Yuming Wang & Yazhou Chen - 2021 - Complexity 2021:1-14.
    With the rapid development of science and technology, UAVs have become a new type of weapon in the informatization battlefield by their advantages of low loss and zero casualty rate. In recent years, UAV navigation electromagnetic decoy and electromagnetic interference crashes have activated widespread international attention. The UAV LiDAR detection system is susceptible to electromagnetic interference in a complex electromagnetic environment, which results in inaccurate detection and causes the mission to fail. Therefore, it is very necessary to predict the effects (...)
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  11.  3
    Shaler's The Neighbor, the Natural History of Human Contacts.Felix Adler - 1904 - Journal of Philosophy, Psychology and Scientific Methods 1 (13):355.
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  12.  8
    Research on Stratum Identification Method Based on TBM Tunneling Characteristic Parameters.Wei Wu, Jingbo Guo, Jie Li, Ji Sun, Haoran Qi & Ximing Chen - 2022 - Complexity 2022:1-12.
    In order to obtain continuous stratum information during TBM tunneling, using TBM tunneling parameters, stratum recognition is carried out through the K-nearest neighbor model, and the model is improved by the entropy weight method to improve the stratum recognition rate. By analyzing the correlation between TBM tunneling characteristic parameters and stratum, the tunneling characteristic parameter vector which is most sensitive to the stratum is obtained by sensitivity analysis, and the stratum recognition model based on the K-nearest neighbor algorithm (...)
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  13.  4
    PRILJ: an efficient two-step method based on embedding and clustering for the identification of regularities in legal case judgments.Graziella De Martino, Gianvito Pio & Michelangelo Ceci - 2022 - Artificial Intelligence and Law 30 (3):359-390.
    In an era characterized by fast technological progress that introduces new unpredictable scenarios every day, working in the law field may appear very difficult, if not supported by the right tools. In this respect, some systems based on Artificial Intelligence methods have been proposed in the literature, to support several tasks in the legal sector. Following this line of research, in this paper we propose a novel method, called PRILJ, that identifies paragraph regularities in legal case judgments, to support (...)
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  14.  12
    To Be a Nurse or a Neighbour? a moral concern for psychiatric nurses living next door to individuals with a mental illness.Torbjörn Högberg, Annabella Magnusson & Kim Lützén - 2005 - Nursing Ethics 12 (5):468-478.
    Several studies reveal that positive attitudes towards individuals with a mental illness are correlated with knowledge about mental illness. The aim of this study was to explore and describe psychiatric nurses’ experiences of living next to people with mental health problems. In addition, it sought to identify and describe how they handle situations arising in a neighbourhood where people with a mental illness live. Two men and seven women participated in the study. The constant comparative method of grounded theory was (...)
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  15. Non-existence of a countable strongly adequate matrix semantics for neighbours of E.Wieslaw Dziobiak - 1981 - Bulletin of the Section of Logic 10 (4):170-174.
    Very often logics are dened by means of the axiomatic method which depends, roughly speaking, on selecting some set of axiom schemas together with certain rules of inferences; here we consider only log- ics that are dened in this way. The representative examples are: E, R and INT. In the case of E and R the modus ponens rule and the rule of adjunction are used, while for INT the modus ponens only; all of them, of course, together with some (...)
     
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  16.  1
    Intellectualization of the urban and rural bus: The arrival time prediction method.Yunna Wang - 2021 - Journal of Intelligent Systems 30 (1):689-697.
    To improve the intelligence of urban and rural buses, it is necessary to realize the accurate prediction of bus arrival time. This paper first introduced urban and rural buses. Then, the arrival time prediction was divided into two parts: road travel time and stop time, and they were predicted by the support vector regression method and k-nearest neighbor (KNN) method. A section of a bus route in Pingdingshan city of Henan province was taken as an example for analysis. The (...)
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  17.  8
    Reliable Reasoning: Induction and Statistical Learning Theory.Gilbert Harman & Sanjeev Kulkarni - 2007 - Bradford.
    In _Reliable Reasoning_, Gilbert Harman and Sanjeev Kulkarni -- a philosopher and an engineer -- argue that philosophy and cognitive science can benefit from statistical learning theory, the theory that lies behind recent advances in machine learning. The philosophical problem of induction, for example, is in part about the reliability of inductive reasoning, where the reliability of a method is measured by its statistically expected percentage of errors -- a central topic in SLT. After discussing philosophical attempts to evade the (...)
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  18.  23
    Methodological and conceptual challenges in rare and severe event forecast verification.Philip A. Ebert & Peter Milne - 2022 - Natural Hazards and Earth System Science 22 (2):539-557.
    There are distinctive methodological and conceptual challenges in rare and severe event (RSE) forecast verification, that is, in the assessment of the quality of forecasts of rare but severe natural hazards such as avalanches, landslides or tornadoes. While some of these challenges have been discussed since the inception of the discipline in the 1880s, there is no consensus about how to assess RSE forecasts. This article offers a comprehensive and critical overview of the many different measures used to capture the (...)
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  19.  15
    用例ベースによるテンス・アスペクト・モダリティの日英翻訳.馬 青 村田 真樹 - 2001 - Transactions of the Japanese Society for Artificial Intelligence 16:20-28.
    We have developed a new method for Japanese-to-English translation of tense, aspect, and modality that uses an example-based method. In this method the similarity between input and example sentences is defined as the degree of semantic matching between the expressions at the ends of the sentences. Our method also uses the k-nearest neighbor method in order to exclude the effects of noise; for example, wrongly tagged data in the bilingual corpora. Experiments show that our method can translate tenses, aspects, (...)
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  20.  17
    BankXX: Supporting legal arguments through heuristic retrieval. [REVIEW]Edwina L. Rissland, David B. Skalak & M. Timur Friedman - 1996 - Artificial Intelligence and Law 4 (1):1-71.
    The BankXX system models the process of perusing and gathering information for argument as a heuristic best-first search for relevant cases, theories, and other domain-specific information. As BankXX searches its heterogeneous and highly interconnected network of domain knowledge, information is incrementally analyzed and amalgamated into a dozen desirable ingredients for argument (called argument pieces), such as citations to cases, applications of legal theories, and references to prototypical factual scenarios. At the conclusion of the search, BankXX outputs the set of argument (...)
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  21.  12
    結合ガウス・マルコフ確率場モデルに対するクラスター変分法による統計力学的反復計算アルゴリズム.田中 和之 - 2001 - Transactions of the Japanese Society for Artificial Intelligence 16:259-267.
    Compound Gauss-Markov random field model is one of Markov random field models for natural image restorations. An optimization algorithm was constructed by means of mean-field approximation, which is a familiar techniques for analyzing massive probabilistic models approximately in the statistical mechanics. Cluster variation method was proposed as an extended version of the mean-field approximation in the statistical mechanics. Though the mean-field approximation treat only the marginal probability distribution for every single pixel, the cluster variation method can take acount into the (...)
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  22. Where have some of the presuppositions gone.Barbara Abbott - unknown
    Some presuppositions seem to be weaker than others in the sense that they can be more easily neutralized in some contexts. For example some factive verbs, most notably epistemic factives like know, be aware, and discover, are known to shed their factivity fairly easily in contexts such as are found in (1). (1) a. …if anyone discovers that the method is also wombat-proof, I’d really like to know! b. Mrs. London is not aware that there have ever been signs erected (...)
     
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  23.  9
    An Enhanced Machine Learning Framework for Type 2 Diabetes Classification Using Imbalanced Data with Missing Values.Kumarmangal Roy, Muneer Ahmad, Kinza Waqar, Kirthanaah Priyaah, Jamel Nebhen, Sultan S. Alshamrani, Muhammad Ahsan Raza & Ihsan Ali - 2021 - Complexity 2021:1-21.
    Diabetes is one of the most common metabolic diseases that cause high blood sugar. Early diagnosis of such a condition is challenging due to its complex interdependence on various factors. There is a need to develop critical decision support systems to assist medical practitioners in the diagnosis process. This research proposes developing a predictive model that can achieve a high classification accuracy of type 2 diabetes. The study consisted of two fundamental parts. Firstly, the study investigated handling missing data adopting (...)
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  24.  11
    Research on Hybrid Collaborative Filtering Recommendation Algorithm Based on the Time Effect and Sentiment Analysis.Xibin Wang, Zhenyu Dai, Hui Li & Jianfeng Yang - 2021 - Complexity 2021:1-11.
    In this study, we focus on the problem of information expiration when using the traditional collaborative filtering algorithm and propose a new collaborative filtering algorithm by integrating the time factor. This algorithm considers information influence attenuation over time, introduces an information retention period based on the information half-value period, and proposes a time-weighted function, which is applied to the nearest neighbor selection and score prediction to assign different time weights to the scores. In addition, to further improve the quality (...)
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  25.  10
    Predicting Missing Links Based on a New Triangle Structure.Shenshen Bai, Longjie Li, Jianjun Cheng, Shijin Xu & Xiaoyun Chen - 2018 - Complexity 2018:1-11.
    With the rapid growth of various complex networks, link prediction has become increasingly important because it can discover the missing information and predict future interactions between nodes in a network. Recently, the CAR and CCLP indexes have been presented for link prediction by means of different triangle structure information. However, both indexes may lose the contributions of some shared neighbors. We propose in this work a new index to make up the weakness and then improve the accuracy of link prediction. (...)
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  26.  25
    A Pervasive Approach to EEG-Based Depression Detection.Hanshu Cai, Jiashuo Han, Yunfei Chen, Xiaocong Sha, Ziyang Wang, Bin Hu, Jing Yang, Lei Feng, Zhijie Ding, Yiqiang Chen & Jürg Gutknecht - 2018 - Complexity 2018:1-13.
    Nowadays, depression is the world’s major health concern and economic burden worldwide. However, due to the limitations of current methods for depression diagnosis, a pervasive and objective approach is essential. In the present study, a psychophysiological database, containing 213 subjects, was constructed. The electroencephalogram signals of all participants under resting state and sound stimulation were collected using a pervasive prefrontal-lobe three-electrode EEG system at Fp1, Fp2, and Fpz electrode sites. After denoising using the Finite Impulse Response filter combining the (...)
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  27.  1
    Rough Set Approach toward Data Modelling and User Knowledge for Extracting Insights.Xiaoqun Liao, Shah Nazir, Junxin Shen, Bingliang Shen & Sulaiman Khan - 2021 - Complexity 2021:1-9.
    Information is considered to be the major part of an organization. With the enhancement of technology, the knowledge level is increasing with the passage of time. This increase of information is in volume, velocity, and variety. Extracting meaningful insights is the dire need of an individual from such information and knowledge. Visualization is a key tool and has become one of the most significant platforms for interpreting, extracting, and communicating information. The current study is an endeavour toward data modelling and (...)
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  28.  5
    A Novel Recurrent Neural Network to Classify EEG Signals for Customers' Decision-Making Behavior Prediction in Brand Extension Scenario.Qingguo Ma, Manlin Wang, Linfeng Hu, Linanzi Zhang & Zhongling Hua - 2021 - Frontiers in Human Neuroscience 15.
    It was meaningful to predict the customers' decision-making behavior in the field of market. However, due to individual differences and complex, non-linear natures of the electroencephalogram signals, it was hard to classify the EEG signals and to predict customers' decisions by using traditional classification methods. To solve the aforementioned problems, a recurrent t-distributed stochastic neighbor embedding neural network was proposed in current study to classify the EEG signals in the designed brand extension paradigm and to predict the participants' (...)
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  29.  4
    Risquons-tout: contemporary artists venture into risk, unpredictability and transgression.Dirk Snauwaert, Emanuele Coccia, Marina Vishmidt & Vivian Ziherl (eds.) - 2020 - Brussels: Mercatorfonds.
    'Risquons-Tout' is an ambitious, thematic group exhibition that explores the potential of transgression and unpredictability. It examines how art challenges the homogenisation of thought in the now infamous echo chambers of our overcrowded info-sphere. 'Risquons-Tout' presents some of the most innovative and influential artists and authors from the Eurocore region, which extends between Amsterdam, Paris, Cologne, Düsseldorf and London, with Brussels at its centre. The title is borrowed from a place located on the Belgian-French border, a real yet liminal space (...)
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  30.  8
    Path of fear: Experiences of health professionals in the fight against COVID‐19.Flávia Regina S. Ramos, Denise Maria Guerreiro V. da Silva, Kássia Janara V. Lima, Wagner Ferreira Monteiro, Jaqueline de A. G. Sachett, Wuelton Monteiro, Darlisom Sousa Ferreira, Lucas Lorran C. de Andrade & Igor Castro Tavares - 2023 - Nursing Inquiry 30 (4):e12578.
    This study aimed to understand the expressions of fear in the journeys of health professionals who worked in the confrontation of coronavirus disease 2019 (COVID‐19), in the city of Manaus, in the Brazilian Western Amazon. This is an exploratory qualitative study that adopts interpretive description as a method to generate informed knowledge responsive to the needs of the practice. We included 56 participants, comprising 23 health managers and 33 health workers (middle and higher level) of different professional categories. The results (...)
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  31.  8
    A Hybrid Feature Selection and Ensemble Approach to Identify Depressed Users in Online Social Media.Jingfang Liu & Mengshi Shi - 2022 - Frontiers in Psychology 12.
    Depression has become one of the most common mental illnesses, and the widespread use of social media provides new ideas for detecting various mental illnesses. The purpose of this study is to use machine learning technology to detect users of depressive patients based on user-shared content and posting behaviors in social media. At present, the existing research mostly uses a single detection method, and the unbalanced class distribution often leads to a low recognition rate. In addition, a large number of (...)
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  32.  5
    The Duty to Prevent Emotional Harm at Work: Arguments from Science and Law, Implications for Policy and Practice.Martin Shain - 2004 - Bulletin of Science, Technology and Society 24 (4):305-315.
    Although science and law employ different methods to gather and weigh evidence, their conclusions are remarkably convergent with regard to the effect that workplace stress has on the health of employees. Science, using the language of probability, affirms that certain stressors predict adverse health outcomes such as disabling anxiety and depression, cardiovascular disease, certain types of injury, and a variety of immune system disorders. Law, using the language of reasonable foreseeability, affirms that these adverse outcomes are predictable under certain (...)
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  33.  6
    Spatial Aspects Of Unemployment In The Visegrad-Group Economies.Roman Hušek & Tomáš Formánek - 2016 - Creative and Knowledge Society 6 (2):1-12.
    Purpose of the article: Most regional macroeconomic processes may not be adequately analyzed without accounting for their spatial nature: regional distances, interactions between neighbors, spill-over effects and interdependencies. This contribution focuses on various factors ruling unemployment dynamics in the Visegrad Group countries and their major economic partners: Germany and Austria. The analysis is performed at the NUTS2 level. Methodology/methods: Spatial econometrics is a unique tool for a broad range of quantitative analyses and evaluations. Spatial econometric models are based on (...)
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  34. The Trinity: An Analysis of St. Thomas Aquinas’ Expositio of the “De Trinitate” of Boethius by Douglas C. Hall.Gregory P. Rocca - 1995 - The Thomist 59 (2):318-322.
    In lieu of an abstract, here is a brief excerpt of the content:318 BOOK REVIEWS ture. But when it comes to love, " we should measure the love of different persons according to the different kinds of union." Thomas underscores what Outka calls the " inclusive " conception of universal love. God is to be loved as the supreme good, as the source of all happiness; the neighbor is loved as sharing in the happiness we receive from God. Charity (...)
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  35.  15
    Breve storia dell'etica.Sergio Cremaschi - 2012 - Roma RM, Italia: Carocci.
    The book reconstructs the history of Western ethics. The approach chosen focuses the endless dialectic of moral codes, or different kinds of ethos, moral doctrines that are preached in order to bring about a reform of existing ethos, and ethical theories that have taken shape in the context of controversies about the ethos and moral doctrines as means of justifying or reforming moral doctrines. Such dialectic is what is meant here by the phrase ‘moral traditions’, taken as a name for (...)
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  36.  78
    Machine Learning-Based Analysis of Digital Movement Assessment and ExerGame Scores for Parkinson's Disease Severity Estimation.Dunia J. Mahboobeh, Sofia B. Dias, Ahsan H. Khandoker & Leontios J. Hadjileontiadis - 2022 - Frontiers in Psychology 13.
    Neurodegenerative Parkinson's Disease is one of the common incurable diseases among the elderly. Clinical assessments are characterized as standardized means for PD diagnosis. However, relying on medical evaluation of a patient's status can be subjective to physicians' experience, making the assessment process susceptible to human errors. The use of ICT-based tools for capturing the status of patients with PD can provide more objective and quantitative metrics. In this vein, the Personalized Serious Game Suite and intelligent Motor Assessment Tests, produced within (...)
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  37.  1
    On learning context-aware rules to link RDF datasets.Andrea Cimmino & Rafael Corchuelo - 2021 - Logic Journal of the IGPL 29 (2):151-166.
    Integrating RDF datasets has become a relevant problem for both researchers and practitioners. In the literature, there are many genetic proposals that learn rules that allow to link the resources that refer to the same real-world entities, which is paramount to integrating the datasets. Unfortunately, they are context-unaware because they focus on the resources and their attributes but forget about their neighbours. This implies that they fall short in cases in which different resources have similar attributes but refer to different (...)
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  38.  4
    Analysis and Prediction of CET4 Scores Based on Data Mining Algorithm.Hongyan Wang - 2021 - Complexity 2021:1-11.
    This paper presents the concept and algorithm of data mining and focuses on the linear regression algorithm. Based on the multiple linear regression algorithm, many factors affecting CET4 are analyzed. Ideas based on data mining, collecting history data and appropriate to transform, using statistical analysis techniques to the many factors influencing the CET-4 test were analyzed, and we have obtained the CET-4 test result and its influencing factors. It was found that the linear regression relationship between the degrees of fit (...)
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  39.  4
    Sparse Graph Embedding Based on the Fuzzy Set for Image Classification.Minghua Wan, Mengting Ge, Tianming Zhan, Zhangjing Yang, Hao Zheng & Guowei Yang - 2021 - Complexity 2021:1-10.
    In recent years, many face image feature extraction and dimensional reduction algorithms have been proposed for linear and nonlinear data, such as local-based graph embedding algorithms or fuzzy set algorithms. However, the aforementioned algorithms are not very effective for face images because they are always affected by overlaps and sparsity points in the database. To solve the problems, a new and effective dimensional reduction method for face recognition is proposed—sparse graph embedding with the fuzzy set for image classification. The aim (...)
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  40.  10
    Діяльність громадсько-політичних організацій на кримському півострові в контексті формування проросійських настроїв у молодіжному середовищі.Olga Gapeyeva - 2016 - Схід 5 (145):40-45.
    The article deals the activities of social and political organizations of pro-Russian direction on the Crimea peninsula. The author defines that under the banner of maintaining relations with compatriots and the preservation of social and cultural traditions, was carried out targeted information campaign on the formation of anti-Ukrainian sentiment among the youth. Events on the Crimean peninsula, unfortunately, belong to insufficiently studied issues of recent history of Ukraine. Ukrainian historical opinion have demonstrated passivity on this issue and no sound labor (...)
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  41.  7
    Futurities of Law.Malte-Christian Gruber - 2021 - Archiv für Rechts- und Sozialphilosophie 107 (3):367-391.
    The law of the future faces fundamental challenges that it cannot overcome by means of ‘tried and trusted’ dogmatics alone. Nor can it, from a methodological standpoint, take refuge in a purportedly apolitical hermeneutics or a one-sided application of empirical methods. Its responsibilities are not exhausted in mere steering, innovation or stimulating operations, but also encompass critical-emancipatory functions. Methodological reflection and legal critique - understood as social theory in the ‘interior’ of law - enable legal doctrine to meet the (...)
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  42.  2
    Circular convolution-based feature extraction algorithm for classification of high-dimensional datasets.Akkalakshmi Muddana & Rupali Tajanpure - 2021 - Journal of Intelligent Systems 30 (1):1026-1039.
    High-dimensional data analysis has become the most challenging task nowadays. Dimensionality reduction plays an important role here. It focuses on data features, which have proved their impact on accuracy, execution time, and space requirement. In this study, a dimensionality reduction method is proposed based on the convolution of input features. The experiments are carried out on minimal preprocessed nine benchmark datasets. Results show that the proposed method gives an average 38% feature reduction in the original dimensions. The algorithm accuracy is (...)
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  43.  4
    Den senere Grue-Sørensen.Thyge Winther-Jensen - 2018 - Studier i Pædagogisk Filosofi 7 (1):2-12.
    In 1955 the fi rst Danish chair in education was set up at the University of Copenhagen and Knud Grue-Sørensen – Doctor of Philosophy – became appointed as holder of the chair. In 1965 the chair had an institute,Institute of Educational Th eory, connected to it.The following deals with the nineteen years in which Grue-Sørensen worked as a professor of educationat the university. The assumption upon which the essay rests is that his main ambition during theseyears was to lay the (...)
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  44.  2
    Review Essay: On the "Subject" of Zizek.Rex Butler - 2016 - International Journal of Žižek Studies 10 (3).
    ‘On the “Subject” of Žižek’ is a three-part review essay looking at two recent texts on Žižek’s political interventions: Sean Homer’s Slavoj Žižek and Radical Politics, which takes up Žižek’s writings on the Balkan Wars, and Adam’s Kotsko’s series of web posts on Žižek on the refugee “crisis” in Europe. As well, it examines Zizek’s 2016 book on Islamic terrorism and the same “crisis”, Against the Double Blackmail: Refugees, Terror and Other Troubles with the Neighbours. Through a close reading of (...)
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  45.  2
    A Metaphysical Phenomenology,Phänomenologie und Metaphysik.Walter Cerf - 1951 - Review of Metaphysics 5 (1):125-144.
    Phänomenologie und Metaphysik is a collection of essays and lectures covering the period from the early thirties to the author's Antrittsvorlesung at the University of Hamburg, about 15 years later. It offers the interesting spectacle of a germ, planted in phenomenological soil, growing under the foggy showers of Dilthey's Philosophy of Life and the tempestuous rains of existentialism into the flower, or rather bud, of metaphysics as "knowledge of the Absolute." "Whether and how metaphysics is still... possible... is a question (...)
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  46. Christian witness in the 21 century - incarnantional engaged approach.Edvard Kristian Foshaugen - 1997 - Dissertation, Free State University
    Research for this study was served by the hypothesis that the Christian’s lifestyle and witness in a postmodern world will depend on the definition and practice of worship and spirituality. The Old Testament reveals a spirituality that has ‘Yahweh’ involved in all aspects of life. Awareness and experience of the presence of God is linked to obedience to God. New Testament spirituality implies imitation of Christ and an effort to obey Christ's twofold command: to love God and neighbor as (...)
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  47.  5
    Construction of Women’s All-Around Speed Skating Event Performance Prediction Model and Competition Strategy Analysis Based on Machine Learning Algorithms.Meng Liu, Yan Chen, Zhenxiang Guo, Kaixiang Zhou, Limingfei Zhou, Haoyang Liu, Dapeng Bao & Junhong Zhou - 2022 - Frontiers in Psychology 13.
    IntroductionAccurately predicting the competitive performance of elite athletes is an essential prerequisite for formulating competitive strategies. Women’s all-around speed skating event consists of four individual subevents, and the competition system is complex and challenging to make accurate predictions on their performance.ObjectiveThe present study aims to explore the feasibility and effectiveness of machine learning algorithms for predicting the performance of women’s all-around speed skating event and provide effective training and competition strategies.MethodsThe data, consisting of 16 seasons of world-class women’s all-around speed (...)
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  48.  5
    Public Health Ethics, Legitimacy, and the Challenges of Industrial Wind Turbines: The Case of Ontario, Canada.Martin Shain - 2011 - Bulletin of Science, Technology and Society 31 (4):346-353.
    While industrial wind turbines (IWTs) clearly raise issues concerning threats to the health of a few in contrast to claimed health benefits to many, the trade-off has not been fully considered in a public health framework. This article reviews public health ethics justifications for the licensing and installation of IWTs. It concludes that the current methods used by government to evaluate licensing applications for IWTs do not meet most public health ethical criteria. Furthermore, these methods are contrary to (...)
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  49.  2
    The use of logic and argumentation in therapy of sex offenders.Dov Gabbay, Gadi Rozenberg & Lydia Rivlin - forthcoming - Logic Journal of the IGPL.
    This paper is intended first for the formal argumentation community (see https://comma.csc.liv.ac.uk/). This community develops logics and systems modelling argumentation and dialogues. The community is in search of major applications areas for their models. One such application area e.g. is Law. The message of this paper is that there is another major application area for formal argumentation. There is an international community of sex offender therapist that is well established and well funded, and their therapy methods use (methods (...)
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  50.  4
    Readings in Formal Epistemology: Sourcebook.Horacio Arló-Costa, Vincent F. Hendricks & Johan van Benthem (eds.) - 2016 - Cham: Imprint: Springer.
    This volume presents 38 classic texts in formal epistemology, and strengthens the ties between research into this area of philosophy and its neighbouring intellectual disciplines. The editors provide introductions to five subsections: Bayesian Epistemology, Belief Change, Decision Theory, Interactive Epistemology and Epistemic Logic. 'Formal epistemology' is a term coined in the late 1990s for a new constellation of interests in philosophy, the origins of which are found in earlier works of epistemologists, philosophers of science and logicians. It addresses a growing (...)
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