Results for 'minority detection, mixture estimation, information theoretic framework, text classification'

991 found
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  1.  24
    情報理論的枠組に基づくマイノリティ集合の検出.佐久間 淳 安藤 晋 - 2007 - Transactions of the Japanese Society for Artificial Intelligence 22 (3):311-321.
    Unsupervised learning techniques, e.g. clustering, is useful for obtaining a summary of a dataset. However, its application to large databases can be computationally expensive. Alternatively, useful information can also be retrieved from its subsets in a more efficient yet effective manner. This paper addresses the problem of finding a small subset of minority instances whose distribution significantly differs from that of the majority. Generally, such a subset can substantially overlap with the majority, which is problematic for conventional estimation (...)
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  2.  90
    A signal detection theoretic approach for estimating metacognitive sensitivity from confidence ratings.Brian Maniscalco & Hakwan Lau - 2012 - Consciousness and Cognition 21 (1):422-430.
    How should we measure metacognitive sensitivity, i.e. the efficacy with which observers’ confidence ratings discriminate between their own correct and incorrect stimulus classifications? We argue that currently available methods are inadequate because they are influenced by factors such as response bias and type 1 sensitivity . Extending the signal detection theory approach of Galvin, Podd, Drga, and Whitmore , we propose a method of measuring type 2 sensitivity that is free from these confounds. We call our measure meta-d′, which reflects (...)
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  3.  15
    Information Theoretic Characterization of Physical Theories with Projective State Space.Marco Zaopo - 2015 - Foundations of Physics 45 (8):943-958.
    Probabilistic theories are a natural framework to investigate the foundations of quantum theory and possible alternative or deeper theories. In a generic probabilistic theory, states of a physical system are represented as vectors of outcomes probabilities and state spaces are convex cones. In this picture the physics of a given theory is related to the geometric shape of the cone of states. In quantum theory, for instance, the shape of the cone of states corresponds to a projective space over complex (...)
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  4.  11
    Combining Text Mining of Long Constructed Responses and Item-Based Measures: A Hybrid Test Design to Screen for Posttraumatic Stress Disorder (PTSD).Qiwei He, Bernard P. Veldkamp, Cees A. W. Glas & Stéphanie M. van den Berg - 2019 - Frontiers in Psychology 10.
    This article introduces a new hybrid intake procedure developed for posttraumatic stress disorder (PTSD) screening, which combines an automated textual assessment of respondents’ self-narratives and item-based measures that are administered consequently. Text mining technique and item response modeling were used to analyze long constructed response (i.e., self-narratives) and responses to standardized questionnaires (i.e., multiple choices), respectively. The whole procedure is combined in a Bayesian framework where the textual assessment functions as prior information for the estimation of the PTSD (...)
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  5.  10
    Stable Anatomy Detection in Multimodal Imaging Through Sparse Group Regularization: A Comparative Study of Iron Accumulation in the Aging Brain.Matthew Pietrosanu, Li Zhang, Peter Seres, Ahmed Elkady, Alan H. Wilman, Linglong Kong & Dana Cobzas - 2021 - Frontiers in Human Neuroscience 15.
    Multimodal neuroimaging provides a rich source of data for identifying brain regions associated with disease progression and aging. However, present studies still typically analyze modalities separately or aggregate voxel-wise measurements and analyses to the structural level, thus reducing statistical power. As a central example, previous works have used two quantitative MRI parameters—R2* and quantitative susceptibility —to study changes in iron associated with aging in healthy and multiple sclerosis subjects, but failed to simultaneously account for both. In this article, we propose (...)
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  6.  18
    An analysis of Classification of Revelation Types Made by al-Zamakhsharī and al-Bayḍāwī in Terms of the Sciences of the Qurʾān.Muhammed İsa Yüksek - 2020 - Cumhuriyet İlahiyat Dergisi 24 (1):437-453.
    The Sciences of the Qurʾān contain information about the process of Qurʾān and its structural characteristics, language and stylistic features, as well as statistical data on the content of the Qurʾān. This information, which contributes significantly to the understanding of the Qurʾān, is generally classified within the relevant narratives and the classifications are sometimes associated with verses. In this context, the way in which the Sciences of the Qurʾān explain the verses, which do not act solely on methodical (...)
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  7.  8
    An Efficient Traffic Incident Detection and Classification Framework by Leveraging the Efficacy of Model Stacking.Zafar Iqbal, Majid I. Khan, Shahid Hussain & Asad Habib - 2021 - Complexity 2021:1-17.
    Automatic incident detection plays a vital role among all the safety-critical applications under the parasol of Intelligent Transportation Systems to provide timely information to passengers and other stakeholders in smart cities. Moreover, accurate classification of these incidents with respect to type and severity assists the Traffic Incident Management Systems and stakeholders in devising better plans for incident site management and avoiding secondary incidents. Most of the AID systems presented in the literature are incident type-specific, i.e., either they are (...)
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  8.  14
    Damage Detection of Refractory Based on Principle Component Analysis and Gaussian Mixture Model.Changming Liu, Zhigang di ZhouWang, Dan Yang & Gangbing Song - 2018 - Complexity 2018:1-9.
    Acoustic emission technique is a common approach to identify the damage of the refractories; however, there is a complex problem since there are as many as fifteen involved parameters, which calls for effective data processing and classification algorithms to reduce the level of complexity. In this paper, experiments involving three-point bending tests of refractories were conducted and AE signals were collected. A new data processing method of merging the similar parameters in the description of the damage and reducing the (...)
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  9.  7
    Simulation of Tennis Match Scene Classification Algorithm Based on Adaptive Gaussian Mixture Model Parameter Estimation.Yuwei Wang & Mofei Wen - 2021 - Complexity 2021:1-12.
    This paper presents an in-depth analysis of tennis match scene classification using an adaptive Gaussian mixture model parameter estimation simulation algorithm. We divided the main components of semantic analysis into type of motion, distance of motion, speed of motion, and landing area of the tennis ball. Firstly, for the problem that both people and tennis balls in the video frames of tennis matches from the surveillance viewpoint are very small, we propose an adaptive Gaussian mixture model parameter (...)
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  10. An Aristotelian-Thomistic Framework for Detecting Covert Consciousness in Unresponsive Persons.Matthew Owen, Aryn D. Owen & Anthony G. Hudetz - forthcoming - In Mihretu P. Guta & Scott B. Rae (eds.), Taking Persons Seriously: Where Philosophy and Bioethics Intersect. Eugene, OR, USA:
    In this chapter, it is argued that the Mind-Body Powers model of neural correlates of consciousness provides a metaphysical framework that yields the theoretical possibility of empirically detecting consciousness. Since the model is informed by an Aristotelian-Thomistic hylomorphic ontology rather than a physicalist ontology, it provides a philosophical foundation for the science of consciousness that is an alternative to physicalism. Our claim is not that the Mind-Body Powers model provides the only alternative, but rather that it provides a sufficient framework (...)
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  11. Information-theoretic classification of SNOMED improves the organization of context-sensitive excerpts from Cochrane Reviews.Sam Lee, Borlawsky Tara, Tao Ying, Li Jianrong, Friedman Carol, Barry Smith & A. Lussier Yves - 2007 - In Proceedings of the Annual Symposium of the American Medical Informatics Association. Washington, DC: AMIA. pp. 645.
    The emphasis on evidence based medicine (EBM) has placed increased focus on finding timely answers to clinical questions in presence of patients. Using a combination of natural language processing for the generation of clinical excerpts and information theoretic distance based clustering, we evaluated multiple approaches for the efficient presentation of context-sensitive EBM excerpts.
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  12.  12
    Information-theoretic signal detection theory.Jacob Feldman - 2021 - Psychological Review 128 (5):976-987.
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  13. Exploration and exploitation of Victorian science in Darwin’s reading notebooks.Jaimie Murdock, Colin Allen & Simon DeDeo - 2017 - Cognition 159 (C):117-126.
    Search in an environment with an uncertain distribution of resources involves a trade-off between exploitation of past discoveries and further exploration. This extends to information foraging, where a knowledge-seeker shifts between reading in depth and studying new domains. To study this decision-making process, we examine the reading choices made by one of the most celebrated scientists of the modern era: Charles Darwin. From the full-text of books listed in his chronologically-organized reading journals, we generate topic models to quantify (...)
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  14.  9
    A Crowd Density Detection Algorithm for Tourist Attractions Based on Monitoring Video Dynamic Information Analysis.Lina Li - 2020 - Complexity 2020:1-14.
    In this paper, we analyze and calculate the crowd density in a tourist area utilizing video surveillance dynamic information analysis and divide the crowd counting and density estimation task into three stages. In this paper, novel scale perception module and inverse scale perception module are designed to further facilitate the mining of multiscale information by the counting model; the main function of the third stage is to generate the population distribution density map, which mainly consists of three columns (...)
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  15. Signal-Detection, Threshold, and Dual-Process Models of Recognition Memory: ROCs and Conscious Recollection.Andrew P. Yonelinas, Ian Dobbins, Michael D. Szymanski, Harpreet S. Dhaliwal & Ling King - 1995 - Consciousness and Cognition 5 (4):418-441.
    Threshold- and signal-detection-based models have dominated theorizing about recognition memory. Building upon these theoretical frameworks, we have argued for a dual-process model in which conscious recollection and familiarity contribute to memory performance. In the current paper we assessed several memory models by examining the effects of levels of processing and the number of presentations on recognition memory receiver operating characteristics . In general, when the ROCs were plotted in probability space they exhibited an inverted U shape; however, when they were (...)
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  16.  10
    A Deep Neural Network Model for the Detection and Classification of Emotions from Textual Content.Muhammad Zubair Asghar, Adidah Lajis, Muhammad Mansoor Alam, Mohd Khairil Rahmat, Haidawati Mohamad Nasir, Hussain Ahmad, Mabrook S. Al-Rakhami, Atif Al-Amri & Fahad R. Albogamy - 2022 - Complexity 2022:1-12.
    Emotion-based sentimental analysis has recently received a lot of interest, with an emphasis on automated identification of user behavior, such as emotional expressions, based on online social media texts. However, the majority of the prior attempts are based on traditional procedures that are insufficient to provide promising outcomes. In this study, we categorize emotional sentiments by recognizing them in the text. For that purpose, we present a deep learning model, bidirectional long-term short-term memory, for emotion recognition that takes into (...)
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  17.  6
    A theoretical framework on proactive information exchange in agent teamwork.Xiaocong Fan, John Yen & Richard A. Volz - 2005 - Artificial Intelligence 169 (1):23-97.
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  18.  11
    A Comparison between Theoretical and Experimental Measures of Consciousness as Integrated Information in an Anatomically Based Network of Coupled Oscillators.Antonio J. Ibáñez-Molina & Sergio Iglesias-Parro - 2018 - Complexity 2018:1-8.
    The rise of mathematical developments in the theories of consciousness has led to new measures to detect consciousness in a system. The Integrated Information Theory is one of the best mathematical rooted attempts to quantify the level of consciousness in a system with Φ as the effective information generated in a system above its parts. Recently, the IIT has inspired the Perturbational Complexity Index to detect conscious states in patients with disorders of consciousness, and it has shown to (...)
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  19.  14
    Detection Analysis of Epileptic EEG Using a Novel Random Forest Model Combined With Grid Search Optimization.Xiashuang Wang, Guanghong Gong, Ni Li & Shi Qiu - 2019 - Frontiers in Human Neuroscience 13:424082.
    In the automatic detection of epileptic seizures, the monitoring of critically ill patients with time varying EEG signals is an essential procedure in intensive care units. There is an increasing interest in using EEG analysis to detect seizure, and in this study we aim to get a better understanding of how to visualize the information in the EEG time-frequency feature, and design and train a novel random forest algorithm for EEG decoding, especially for multiple-levels of illness. Here, we propose (...)
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  20.  8
    Local and Deep Features Based Convolutional Neural Network Frameworks for Brain MRI Anomaly Detection.Sajad Einy, Hasan Saygin, Hemrah Hivehch & Yahya Dorostkar Navaei - 2022 - Complexity 2022:1-11.
    A brain tumor is an abnormal mass or growth of a cell that leads to certain death, and this is still a challenging task in clinical practice. Early and correct diagnosis of this type of cancer is very important for the treatment process. For this reason, this study aimed to develop computer-aided systems for the diagnosis of brain tumors. In this research, we proposed three different end-to-end deep learning approaches for analyzing effects of local and deep features for brain MRI (...)
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  21.  7
    An Iterative Information-Theoretic Approach to the Detection of Structures in Complex Systems.Marco Villani, Laura Sani, Riccardo Pecori, Michele Amoretti, Andrea Roli, Monica Mordonini, Roberto Serra & Stefano Cagnoni - 2018 - Complexity 2018:1-15.
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  22.  34
    Making the ineffable explicit: estimating the information employed for face classifications.Michael C. Mangini & Irving Biederman - 2004 - Cognitive Science 28 (2):209-226.
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  23.  55
    InformationTheoretic Properties of Auditory Sequences Dynamically Influence Expectation and Memory.Kat Agres, Samer Abdallah & Marcus Pearce - 2018 - Cognitive Science 42 (1):43-76.
    A basic function of cognition is to detect regularities in sensory input to facilitate the prediction and recognition of future events. It has been proposed that these implicit expectations arise from an internal predictive coding model, based on knowledge acquired through processes such as statistical learning, but it is unclear how different types of statistical information affect listeners’ memory for auditory stimuli. We used a combination of behavioral and computational methods to investigate memory for non-linguistic auditory sequences. Participants repeatedly (...)
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  24.  5
    Detection of extremist messages in web resources in the Kazakh language.Shynar Mussiraliyeva & Milana Bolatbek - 2023 - Lodz Papers in Pragmatics 19 (2):415-425.
    Currently, the Internet information and communication network has become an integral part of human life. People use social networks such as Twitter, VKontakte, Facebook, etc., to establish global contacts, exchange opinions, gain knowledge, etc. The active participation of not only individual users, but also information organizations in the entire world space makes it necessary to develop measures that correspond to modern trends in the development of information and communication technologies to ensure national security, in particular, the organization (...)
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  25. Indirect Anaphora: Classification and Interpretation.Ming Xu & Geng-Chun Li - 2005 - Philosophy of the Social Sciences 35 (4):166-169.
    Any text can not leave the text the user exists, with the phenomenon of indirect discourse anaphora is no exception. Therefore, the phenomenon of indirect anaphora can not be studied only from the text itself, but also from the recipient of discourse processing and mental representation of discourse strategies such as perspective depth studies to explore the source of discourse coherence factors. Indirect anaphor is a special kind of anaphor that receives more and more attention these years. (...)
     
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  26.  69
    On estimation of functional causal models : general results and application to the post-nonlinear causal model.Kun Zhang, Zhikun Wang, Jiji Zhang & Bernhard Scholkopf - unknown
    Compared to constraint-based causal discovery, causal discovery based on functional causal models is able to identify the whole causal model under appropriate assumptions [Shimizu et al. 2006; Hoyer et al. 2009; Zhang and Hyvärinen 2009b]. Functional causal models represent the effect as a function of the direct causes together with an independent noise term. Examples include the linear non-Gaussian acyclic model, nonlinear additive noise model, and post-nonlinear model. Currently, there are two ways to estimate the parameters in the models: dependence (...)
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  27.  55
    A Socio‐epistemological Framework for Scientific Publishing.Judith Simon - 2010 - Social Epistemology 24 (3):201-218.
    In this paper I propose a new theoretical framework to analyse socio‐technical epistemic practices and systems on the Web and beyond, and apply it to the topic of web‐based scientific publishing. This framework is informed by social epistemology, science and technology studies (STS) and feminist epistemology. Its core consists of a tripartite classification of socio‐technical epistemic systems based on the mechanisms of closure they employ to terminate socio‐epistemic processes in which multiple agents are involved. In particular I distinguish three (...)
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  28.  10
    How Do Large Purchasing Organizations Treat Their Diverse Suppliers? Minority Business Enterprise CEOs’ Perception of Corporate Commitment to Supplier Diversity.Ian Y. Blount - 2021 - Business and Society 60 (7):1708-1737.
    Supplier diversity programs were created in the United States nearly 50 years ago to encourage private sector companies to provide business opportunities to underutilized minority business enterprises. In order to assess the experiences that minority business enterprise CEOs have with large purchasing organizations and their perceptions of justice and commitment of large purchasing organizations to the buyer–supplier relationship (BSR), this study utilizes survey data collected from 206 minority business enterprise CEOs who supply large purchasing organizations that espouse (...)
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  29. Empirical Modeling and Information Semantics.Gordana Dodig-Crnkovic - 2008 - Mind and Society 7 (2):157.
    This paper investigates the relationship between reality and model, information and truth. It will argue that meaningful data need not be true in order to constitute information. Information to which truth-value cannot be ascribed, partially true information or even false information can lead to an interesting outcome such as technological innovation or scientific breakthrough. In the research process, during the transition between two theoretical frameworks, there is a dynamic mixture of old and new concepts (...)
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  30.  40
    Empirical modeling and information semantics.Gordana Dodig-Crnkovic - 2008 - Mind and Society 7 (2):157-166.
    This paper investigates the relationship between reality and model, information and truth. It will argue that meaningful data need not be true in order to constitute information. Information to which truth-value cannot be ascribed, partially true information or even false information can lead to an interesting outcome such as technological innovation or scientific breakthrough. In the research process, during the transition between two theoretical frameworks, there is a dynamic mixture of old and new concepts (...)
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  31.  16
    Disease Information Through Comics: A Graphic Option for Health Education.Josh Rakower & Ann Hallyburton - 2022 - Journal of Medical Humanities 43 (3):475-492.
    This paper presents a critical interpretive synthesis of research on the efficacy of comics in educating consumers on communicable diseases. Using this review methodology, the authors drew from empirical as well as non-empirical literature to develop a theoretical framework exploring the implications of comics’ combination of images and text to communicate this health promoting information. The authors examined selected works’ alignment with the four motivational components of Keller’s ARCS Model to evaluate research within the context of learner motivation. (...)
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  32.  17
    Theoretical frameworks used to discuss ethical issues in private physiotherapy practice and proposal of a new ethical tool.Marie-Josée Drolet & Anne Hudon - 2015 - Medicine, Health Care and Philosophy 18 (1):51-62.
    In the past, several researchers in the field of physiotherapy have asserted that physiotherapy clinicians rarely use ethical knowledge to solve ethical issues raised by their practice. Does this assertion still hold true? Do the theoretical frameworks used by researchers and clinicians allow them to analyze thoroughly the ethical issues they encounter in their everyday practice? In our quest for answers, we conducted a literature review and analyzed the ethical theoretical frameworks used by physiotherapy researchers and clinicians to discuss the (...)
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  33. Quantum information theoretic approach to the mind–brain problem.Danko D. Georgiev - 2020 - Progress in Biophysics and Molecular Biology 158:16-32.
    The brain is composed of electrically excitable neuronal networks regulated by the activity of voltage-gated ion channels. Further portraying the molecular composition of the brain, however, will not reveal anything remotely reminiscent of a feeling, a sensation or a conscious experience. In classical physics, addressing the mind–brain problem is a formidable task because no physical mechanism is able to explain how the brain generates the unobservable, inner psychological world of conscious experiences and how in turn those conscious experiences steer the (...)
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  34.  16
    Policing Cultural Traffic: Charlie Chan and Hawai'i Detective Fiction.Konrad Gar-Yeu Ng - 2002 - Cultural Values 6 (3):309-316.
    This essay articulates one way to conduct a cultural intervention from the Asia/Pacific region that recognizes the cultural governance of “Other” traffics. I investigate the discursive framework of Charlie Chan and Hawai'i detective fiction to inform the ways in which nation-states police cultural difference and enact geo-cultural homogeneity. I contend that Charlie Chan acts as a narrative of containment by inscribing and transcribing those spaces, times and bodies that would otherwise disrupt the national field of America. In particular, the imaginative (...)
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  35.  12
    Signal detection theory with finite mixture distributions: Theoretical developments with applications to recognition memory.Lawrence T. DeCarlo - 2002 - Psychological Review 109 (4):710-721.
  36.  18
    Information extraction framework to build legislation network.Neda Sakhaee & Mark C. Wilson - 2020 - Artificial Intelligence and Law 29 (1):35-58.
    This paper concerns an information extraction process for building a dynamic legislation network from legal documents. Unlike supervised learning approaches which require additional calculations, the idea here is to apply information extraction methodologies by identifying distinct expressions in legal text in order to extract network information. The study highlights the importance of data accuracy in network analysis and improves approximate string matching techniques to produce reliable network data-sets with more than 98% precision and recall. The applications (...)
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  37.  68
    Expectation-Maximization Algorithm of Gaussian Mixture Model for Vehicle-Commodity Matching in Logistics Supply Chain.Qi Sun, Liwen Jiang & Haitao Xu - 2021 - Complexity 2021:1-11.
    A vehicle-commodity matching problem is presented for service providers to reduce the cost of the logistics system. The vehicle classification model is built as a Gaussian mixture model, and the expectation-maximization algorithm is designed to solve the parameter estimation of GMM. A nonlinear mixed-integer programming model is constructed to minimize the total cost of VCMP. The matching process between vehicle and commodity is realized by GMM-EM, as a preprocessing of the solution. The design of the vehicle-commodity matching platform (...)
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  38.  3
    An Information-Theoretic Account of Semantic Interference in Word Production.Richard Futrell - 2021 - Frontiers in Psychology 12.
    I present a computational-level model of semantic interference effects in online word production within a rate–distortion framework. I consider a bounded-rational agent trying to produce words. The agent's action policy is determined by maximizing accuracy in production subject to computational constraints. These computational constraints are formalized using mutual information. I show that semantic similarity-based interference among words falls out naturally from this setup, and I present a series of simulations showing that the model captures some of the key empirical (...)
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  39. Controlled and automatic human information processing: Perceptual learning, automatic attending, and a general theory.Richard M. Shiffrin & Walter Schneider - 1977 - Psychological Review 84 (2):128-90.
    Tested the 2-process theory of detection, search, and attention presented by the current authors in a series of experiments. The studies demonstrate the qualitative difference between 2 modes of information processing: automatic detection and controlled search; trace the course of the learning of automatic detection, of categories, and of automatic-attention responses; and show the dependence of automatic detection on attending responses and demonstrate how such responses interrupt controlled processing and interfere with the focusing of attention. The learning of categories (...)
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  40.  17
    Knowledge, culture, and power: Some theoretical issues related to the agricultural knowledge and information system framework.Wimal Dissanayake - 1992 - Knowledge, Technology & Policy 5 (1):65-76.
  41.  12
    Integrating legal event and context information for Chinese similar case analysis.Jingpei Dan, Lanlin Xu & Yuming Wang - forthcoming - Artificial Intelligence and Law:1-42.
    Similar case analysis (SCA) is an essential topic in legal artificial intelligence, serving as a reference for legal professionals. Most existing works treat SCA as a traditional text classification task and ignore some important legal elements that affect the verdict and case similarity, like legal events, and thus are easily misled by semantic structure. To address this issue, we propose a Legal Event-Context Model named LECM to improve the accuracy and interpretability of SCA based on Chinese legal corpus. (...)
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  42.  13
    The information-theoretic view of quantum mechanics and the measurement problem(s).Federico Laudisa - 2023 - European Journal for Philosophy of Science 13 (2):1-26.
    Until recently Jeffrey Bub and Itamar Pitowsky, in the framework of an information-theoretic view of quantum mechanics, claimed first that to the measurement problem in its ordinary formulation there correspond in effect two measurement problems (simply called the big and the small measurement problems), with a different degree of relevance and, second, that the analysis of a quantum measurement is a problem only if other assumptions – taken by Pitowsky and Bub to be unnecessary ‘dogmas’ – are assumed. (...)
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  43.  13
    Information-Theoretic Interpretation of Quantum Formalism.Michel Feldmann - 2023 - Foundations of Physics 53 (3):1-59.
    We present an information-theoretic interpretation of quantum formalism based on a Bayesian framework and devoid of any extra axiom or principle. Quantum information is construed as a technique for analyzing a logical system subject to classical constraints, based on a question-and-answer procedure. The problem is posed from a particular batch of queries while the constraints are represented by the truth table of a set of Boolean functions. The Bayesian inference technique consists in assigning a probability distribution within (...)
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  44. Informal Caregiver Burnout? Development of a Theoretical Framework to Understand the Impact of Caregiving.Pierre Gérain & Emmanuelle Zech - 2019 - Frontiers in Psychology 10.
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  45.  7
    Estimating the prevalence of text overlap in biomedical conference abstracts.Harold R. Garner, Miguel Roig, Araba Wubah & Nick Kinney - 2021 - Research Integrity and Peer Review 6 (1).
    BackgroundScientists communicate progress and exchange information via publication and presentation at scientific meetings. We previously showed that text similarity analysis applied to Medline can identify and quantify plagiarism and duplicate publications in peer-reviewed biomedical journals. In the present study, we applied the same analysis to a large sample of conference abstracts.MethodsWe downloaded 144,149 abstracts from 207 national and international meetings of 63 biomedical conferences. Pairwise comparisons were made using eTBLAST: a text similarity engine. A domain expert then (...)
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  46.  38
    Miserliness in human cognition: the interaction of detection, override and mindware.Keith E. Stanovich - 2018 - Thinking and Reasoning 24 (4):423-444.
    ABSTRACTHumans are cognitive misers because their basic tendency is to default to processing mechanisms of low computational expense. Such a tendency leads to suboptimal outcomes in certain types of hostile environments. The theoretical inferences made from correct and incorrect responding on heuristics and biases tasks have been overly simplified, however. The framework developed here traces the complexities inherent in these tasks by identifying five processing states that are possible in most heuristics and biases tasks. The framework also identifies three possible (...)
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  47. Concepts, introspection, and phenomenal consciousness: An information-theoretical approach.Murat Aydede & Güven Güzeldere - 2005 - Noûs 39 (2):197-255.
    This essay is a sustained attempt to bring new light to some of the perennial problems in philosophy of mind surrounding phenomenal consciousness and introspection through developing an account of sensory and phenomenal concepts. Building on the information-theoretic framework of Dretske (1981), we present an informational psychosemantics as it applies to what we call sensory concepts, concepts that apply, roughly, to so-called secondary qualities of objects. We show that these concepts have a special informational character and semantic structure (...)
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  48.  32
    On the Information-Theoretical Meaning of Hill's Parametric Evenness.C. Ricotta & G. C. Avena - 2002 - Acta Biotheoretica 50 (1):63-71.
    The degree to which abundances are divided equitably among community species or evenness is a basic property of any biological community. Several evenness indices have been proposed to summarize community structure. However, despite their potential applicability in ecological research, none seems to be generally preferred. In this paper we show that, unlike other evenness indices without any clear information-theoretical meaning, Hill's parametric diversity measure E ,0 has an immediate relation to Rényi's generalized information. Therefore, E ,0 might be (...)
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  49.  79
    Integrating a Statistical Topic Model and a Diagnostic Classification Model for Analyzing Items in a Mixed Format Assessment.H. -J. Choi, Seohyun Kim, Allan S. Cohen, Jonathan Templin & Yasemin Copur-Gencturk - 2021 - Frontiers in Psychology 11.
    Selected response items and constructed response items are often found in the same test. Conventional psychometric models for these two types of items typically focus on using the scores for correctness of the responses. Recent research suggests, however, that more information may be available from the CR items than just scores for correctness. In this study, we describe an approach in which a statistical topic model along with a diagnostic classification model was applied to a mixed item format (...)
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    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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