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Titlebook: Neural Information Processing; 18th International C Bao-Liang Lu,Liqing Zhang,James Kwok Conference proceedings 2011 Springer-Verlag GmbH B

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发表于 2025-3-21 18:05:13 | 显示全部楼层 |阅读模式
书目名称Neural Information Processing
副标题18th International C
编辑Bao-Liang Lu,Liqing Zhang,James Kwok
视频video
概述Fast track conference proceedings.Unique visibility.State of the art research
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Neural Information Processing; 18th International C Bao-Liang Lu,Liqing Zhang,James Kwok Conference proceedings 2011 Springer-Verlag GmbH B
描述The three volume set LNCS 7062, LNCS 7063, and LNCS 7064 constitutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011..The 262 regular session papers presented were carefully reviewed and selected from numerous submissions. .The papers of part I are organized in topical sections on perception, emotion and development, bioinformatics, biologically inspired vision and recognition, bio-medical data analysis, brain signal processing, brain-computer interfaces, brain-like systems, brain-realistic models for learning, memory and embodied cognition, Clifford algebraic neural networks, combining multiple learners, computational advances in bioinformatics, and computational-intelligent human computer interaction..The second volume is structured in topical sections on cybersecurity and data mining workshop, data mining and knowledge doscovery, evolutionary design and optimisation, graphical models, human-originated data analysis and implementation, information retrieval, integrating multiple nature-inspired approaches, kernel methods and support vector machines, and learning and memory..The third vol
出版日期Conference proceedings 2011
关键词Web service; neural simulation; ontology learning; probabilistic methods; semantic web
版次1
doihttps://doi.org/10.1007/978-3-642-24965-5
isbn_softcover978-3-642-24964-8
isbn_ebook978-3-642-24965-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2011
The information of publication is updating

书目名称Neural Information Processing影响因子(影响力)




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Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering or below, the superiority of cosine measure does not hold anymore. Also, for small dimensionalities, PCA dimensionality reduction method performs better than SVD. We also show how .. normalization affects different distance measures. The experiments are run for three document sets in English and one in Hindi.
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0302-9743 tutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011..The 262 regular session papers presented were carefully reviewed and selected from numerous submissions. .The papers of part I are organized in topical
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An Action Selection Method Based on Estimation of Other’s Intention in Time-Varying Multi-agent Envi. Fourthly, the estimation methods of other’s intention are applied to the Q-learning method. Finally, through computer simulations using pursuit problems, the performance of the estimation methods are investigated. As a result, it is shown that the proposed method can select the appropriate estimation level in time-varying environments.
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Emergence of Leadership in Evolving Robot Colony to the environment using evolutionary computation. Simulation has been conducted with 2-D based robot simulator Enki of EPuck mobile robots. Through experiments, we have found that the more centralized structure emerges in the evolutionary robot colony with a few leaders and safety behavior policy when facing with a difficult condition.
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Emergence of Purposive and Grounded Communication through Reinforcement Learninged to lead the robot to the goal. It was found that, for the learning, the experience of controlling the robot by the transmitter is useful, and the correlation between the communication signals and robot motion is important.
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Topic Modeling of Chinese Language Using Character-Word Relationsandard Latent Dirichlet Allocation (LDA) model. Compared to LDA, this model can improve performance in document classification especially when test data contains considerable number of Chinese words not appeared in training data.
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