For CVaR portfolio nonsmooth optimization problem, we propose an infeasible incremental bundle method on the basis of the improvement function and the main idea of incremental method for solving convex finite min-max problems. The presented algorithm only employs the information of the objective function and one component function of constraint functions to form the approximate model for improvement function. By introducing the aggregate technique, we keep the information of previous iterate points that may be deleted from bundle to overcome the (...) difficulty of numerical computation and storage. Our algorithm does not enforce the feasibility of iterate points and the monotonicity of objective function, and the global convergence of the algorithm is established under mild conditions. Compared with the available results, our method loosens the requirements of computing the whole constraint function, which makes the algorithm easier to implement. (shrink)

Emotion recognition plays an important part in human-computer interaction. Currently, the main challenge in electroencephalogram -based emotion recognition is the non-stationarity of EEG signals, which causes performance of the trained model decreasing over time. In this paper, we propose a two-level domain adaptation neural network to construct a transfer model for EEG-based emotion recognition. Specifically, deep features from the topological graph, which preserve topological information from EEG signals, are extracted using a deep neural network. These features are then passed through (...) TDANN for two-level domain confusion. The first level uses the maximum mean discrepancy to reduce the distribution discrepancy of deep features between source domain and target domain, and the second uses the domain adversarial neural network to force the deep features closer to their corresponding class centers. We evaluated the domain-transfer performance of the model on both our self-built data set and the public data set SEED. In the cross-day transfer experiment, the ability to accurately discriminate joy from other emotions was high: sadness, anger, and fear on the self-built data set. The accuracy reached 74.93% on the SEED data set. In the cross-subject transfer experiment, the ability to accurately discriminate joy from other emotions was equally high: sadness, anger, and fear on the self-built data set. The average accuracy reached 87.9% on the SEED data set, which was higher than WGAN-DA. The experimental results demonstrate that the proposed TDANN can effectively handle the domain transfer problem in EEG-based emotion recognition. (shrink)

Sequential recommendation algorithm can predict the next action of a user by modeling the user’s interaction sequence with an item. However, most sequential recommendation models only consider the absolute positions of items in the sequence, ignoring the time interval information between items, and cannot effectively mine user preference changes. In addition, existing models perform poorly on sparse data sets, which make a poor prediction effect for short sequences. To address the above problems, an improved sequential recommendation algorithm based on short-sequence (...) enhancement and temporal self-attention mechanism is proposed in this paper. In the proposed algorithm, a backward prediction model is trained first, to predict the prior items in the user sequence. Then, the reverse prediction model is used to generate a batch of pseudo-historical items before the initial items of the short sequence, to achieve the goal of enhancing the short sequence. Finally, the absolute position information and time interval information of the user sequence are modeled, and a time-aware self-attention model is adopted to predict the user’s next action and generate a recommendation list. Various experiments are conducted on two public data sets. The experimental results show that the method proposed in this paper has excellent performance on both dense and sparse data sets, and its effect is better than that of the state of the art. (shrink)

In this paper, finite-time tracking problem of nonholonomic mobile robots for a moving target is considered. First of all, polar coordinates are used to characterize the distance and azimuth between the moving target and the robot. Then, based on the distance and azimuth transported from the sensor installed on the robot, a finite-time tracking control law is designed for the nonholonomic mobile robot by the switching control method. Rigorous proof shows that the tracking error converges to zero in a finite (...) time. Numerical simulation demonstrates the effectiveness of the proposed control method. (shrink)

本书对自组织理论进行综合性研究,并探讨了关于自然界自组织演化的自然图景和自然观,关于自然科学自组织演化的科学图景和科学观。.

本书共分四辑,收录了美在关系中,谈审美与人的全面发展,论审美知觉及其形成过程,审美想象的生成机制,艺术想象的意向性和认识性等文章.

本书向人们展示“气到底是什么”:气的内涵外延、气的作用、气的运行、卦气、气运、气数、气化、气与天地万物的生成、气与神、气与道、气与理、气与人性等。.

本书收录了童庆炳先生专门谈审美心理的论文16篇,着重研究人在审美过程中的心理机制,为审美心理的研究开辟了一个小小的新面。.

Ben shu jie shao le gong zi zhen, wei yuan, yan fu, kang you wei, tan si tong, liang qi chao, chen tian hua, zhang bing lin deng wan qing si xiang jia de zhe xue si xiang.

Ninety-year-old Master Nan Huaijin and his students' ten-day course, the essence of his life is all in his life. The recording of the class in 2008 was formally compiled and published today. Nanshi has explained the essentials of practice with nearly a hundred years of experience and reminded the quick way to get started. Study case study for each person, reminding the key points of study, it is enough for later reference. Introduce the content and history of Dharma Sutra and (...) Dao Di Sutra repeatedly, and use the essence of Langa Sutra, Deep Secret Sutra, Middle Theory, Guan Zi and other books to illustrate internal cultivation Theories and methods for external use. The study of traditional Chinese mind, body, life and life, including Zen, Taoism. (shrink)

本书内容包括:太极审美文化、儒家审美文化、道家审美文化、释家审美文化、中国传统审美文化与世界遗产等。.

本书穿越时空的隧道,对中西美学思想做了深入的沉思积极的探索,本书充分吸纳中西理论资源,力求以理论思维上的锐意创新,体现出东方的睿智情采,以回应全球化浪潮带来的文化挑战。.

本书内容包括:宋元时期的美学思想,宋元时期的艺术,宋元工艺与生活风俗中的审美情趣等。.

本书立足于同情的理解与理性的批导，对唐君毅哲学思想进行了系统的分析，既对唐氏哲学的中心观念“心之本体”作出了通透的阐释，又逐层从道德的哲学、文化哲学和宗教哲学等层面进行了梳理，从而多角度地呈现了唐氏哲 学的特点。.

本书内容包括:审美文化与社会诸要素,隋唐五代审美理想论,隋唐五代审美文化特征论,书法艺术,诗歌艺术,绘画艺术,雕塑艺术等。.

本书选取了典籍、语言、器物、文学、艺术、哲学等六个主要方面,各为一章,以及海外的中国文化热,共七章。.

本书内容包括:世纪初的审美转型、近代崇高美理想的初步拓展、从崇高向古典的塌陷、多元统一的审美追求四部分。.

本书从深层次上去把握中国古代尚清审美趣味的实质性意义及其审美价值,并从宏观上阐明了其产生与发展、演化的历史过程及其相应的社会基础与意识形态根源。.

★2017年好書大家讀「年度最佳少年兒童讀物獎」 ★第73梯次好書大家讀入選圖書 (國小高年級~國中適讀) 經歷思考的強烈颱風，心甘情願把自己打掉重練…… 法國哲學圈的頭痛人物──奧斯卡‧柏尼菲 出版暢銷全世界的哲學童書繪本，一個難搞的老頑童 自家設立「哲學踐行學院」，褚士瑩成為入門弟子的挑戰衝擊…… 人氣俠客律師 呂秋遠 專文推薦 「思考不需要是天賦！只要透過學習，任何人都可以變得會思考。 面對人生、工作的瓶頸，變成一個不害怕思考、不害怕問題的人。」__褚士瑩 褚士瑩寫作超過20年，每年演講場次逼近上百場，NGO國際經驗15年以上， 有一天發現再也無法繼續工作下去了…… 為了突破瓶頸，他跟著法國老師奧斯卡‧柏尼菲上哲學課。 結果上課第一天完完全全被打回原形！ 沒有任何課程規劃，沒有特定主題，從早上到午夜，一切要自主思考。 你沉默，你答非所問，你模稜兩可，就會被老師追問得「體無完膚」…… 為什麼要誠實表達自己？為什麼要犀利面對自我？ 知道一點點，究竟是知道還是不知道？說不知道會很丟臉嗎？ 愛你一點點，到底是愛還是不愛？說不愛會很傷人嗎？ 離開同溫層的第一步？是學會說真話？ 這一趟魔鬼訓練的震撼，一切從頭拆解！ 褚士瑩突然想起在幼稚園的舞台上，群體中那個傲慢的自己； 從咀嚼說出的每一個字，驚覺過去引以為豪的禮貌用語是思考敵人； 從身體展現的每一個動作，挖掘隱藏的自我，承認無知是獲得知識的開始； 雖然比想像還要困難好幾倍，割裂慣性思維千萬次， 但思考沒有「無痛分娩」，是可以找到幾條清晰路徑， 塑造自己，延伸自己，最後大喊：我要帶著哲學活下去！重新啟程！.

在連續不斷、無區隔、無裂隙的世界觀中，天地與我並生，萬物與我為一。 周文化的主流，講求階級身分之責任義務、嚴守人我是非之限界秩序。 非主流的莊子卻說，窮盡智識分辨事物其實不智，只是勞神而無功。 如果能夠拋開成心和偏好，立於無彼無此的道之樞紐上看待萬事萬物， 世上的一切就都有了道理，都有了自身之常、自身之用，這就是通達。 楊照讀莊子， 引入傳統中國哲學裡被忽視的邏輯分析， 將前人難以理解的細密哲思一一梳理清晰， 為我們展示出莊子開闊混同的精神世界。 拋開冷硬的課文題解，穿過層層的過度解讀， 楊照經典講堂以最貼近歷史真實的讀法， 帶你一次讀懂兩千年前的漢語經典！ 最平易的語言、最扎實的分析 打破時空限制，直接從原典文句汲取千年智慧 提供最立即的知識趣味 楊照全程領讀、解讀，漢語經典完全解碼 台灣新品種文庫版，隨身伴讀.