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Titlebook: Neural Information Processing; 20th International C Minho Lee,Akira Hirose,Rhee Man Kil Conference proceedings 2013 Springer-Verlag Berlin

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書目名稱Neural Information Processing
副標(biāo)題20th International C
編輯Minho Lee,Akira Hirose,Rhee Man Kil
視頻videohttp://file.papertrans.cn/664/663642/663642.mp4
概述Up-to-date results.State-of-the-art research.Fast-track conference proceedings
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Neural Information Processing; 20th International C Minho Lee,Akira Hirose,Rhee Man Kil Conference proceedings 2013 Springer-Verlag Berlin
描述The three volume set LNCS 8226, LNCS 8227, and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies and novel approaches and applications.
出版日期Conference proceedings 2013
關(guān)鍵詞activity recognition; artificial intelligence; image processing; machine learning; pattern recognition
版次1
doihttps://doi.org/10.1007/978-3-642-42054-2
isbn_softcover978-3-642-42053-5
isbn_ebook978-3-642-42054-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

書目名稱Neural Information Processing影響因子(影響力)




書目名稱Neural Information Processing影響因子(影響力)學(xué)科排名




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度




書目名稱Neural Information Processing網(wǎng)絡(luò)公開度學(xué)科排名




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Planning as Inference in a Hierarchical Predictive Memory,agent’s self-action states. Following to the PAI, the predictions were inferred from the evidence of the ongoing state and the evidence from assumption of the goal achievement. The agents realizes the predicted actions to minimize prediction errors. We implemented our method in embodied robotics sys
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Detection of Error-Prone Cases for Word Sense Disambiguation, a base method. If a data is determined as an error-prone case, it is processed by a prototype based method. The prototype based method takes an advantage from overall training examples rather than depends on only several neighbors. The experimental results on Senseval-3 nouns show that an error-pro
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