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Titlebook: Advances in Neural Networks -- ISNN 2011; 8th International Sy Derong Liu,Huaguang Zhang,Haibo He Conference proceedings 2011 Springer Berl

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發(fā)表于 2025-3-21 17:57:46 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Neural Networks -- ISNN 2011
期刊簡稱8th International Sy
影響因子2023Derong Liu,Huaguang Zhang,Haibo He
視頻videohttp://file.papertrans.cn/150/149161/149161.mp4
發(fā)行地址Fast-track conference proceedings.State-of-the-art research.Up-to-date results
學(xué)科分類Lecture Notes in Computer Science
圖書封面Titlebook: Advances in Neural Networks -- ISNN 2011; 8th International Sy Derong Liu,Huaguang Zhang,Haibo He Conference proceedings 2011 Springer Berl
影響因子The three-volume set LNCS 6675, 6676 and 6677 constitutes the refereed proceedings of the 8th International Symposium on Neural Networks, ISNN 2011, held in Guilin, China, in May/June 2011. The total of 215 papers presented in all three volumes were carefully reviewed and selected from 651 submissions. The contributions are structured in topical sections on computational neuroscience and cognitive science; neurodynamics and complex systems; stability and convergence analysis; neural network models; supervised learning and unsupervised learning; kernel methods and support vector machines; mixture models and clustering; visual perception and pattern recognition; motion, tracking and object recognition; natural scene analysis and speech recognition; neuromorphic hardware, fuzzy neural networks and robotics; multi-agent systems and adaptive dynamic programming; reinforcement learning and decision making; action and motor control; adaptive and hybrid intelligent systems; neuroinformatics and bioinformatics; information retrieval; data mining and knowledge discovery; and natural language processing.
Pindex Conference proceedings 2011
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書目名稱Advances in Neural Networks -- ISNN 2011影響因子(影響力)




書目名稱Advances in Neural Networks -- ISNN 2011影響因子(影響力)學(xué)科排名




書目名稱Advances in Neural Networks -- ISNN 2011網(wǎng)絡(luò)公開度




書目名稱Advances in Neural Networks -- ISNN 2011網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Advances in Neural Networks -- ISNN 2011被引頻次學(xué)科排名




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書目名稱Advances in Neural Networks -- ISNN 2011讀者反饋學(xué)科排名




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Gerald Midgley,Alejandro E. Ochoa-Arias sparse mapping. Based on the assumption that data with the same label locate on a sub-manifold and different class data reside in the corresponding sub-manifolds, the proposed algorithm can construct an objective function which aims to project the original data into a subspace with maximum sub-mani
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,The Community Partnership Schools? Model,. However, there are situations where only extremely small samples can be used in order to perform an inference. In such situations it is of utmost importance to theoretically analyze what and under what circumstances can be learned. One such scenario is detection of differentially expressed genes.
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,The Community Partnership Schools? Model,tion in practical applications. In this paper, we propose a new kind of learning algorithm for Gaussian mixtures with simultaneous model selection and variable selection (MSFS) based on the BYY harmony learning framework. It is demonstrated by simulation experiments that the proposed MSFS algorithm
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Community Pest Management in Practicejor advances in distributed generation (DG) technologies. Distribution systems have traditionally been designed as radial systems, and time coordination of protection devices at the distribution level, the main characteristic for fault diagnosis, is a standard practice used by the utilities. However
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