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Titlebook: Artificial Neural Networks - ICANN 2008; 18th International C Véra K?rková,Roman Neruda,Jan Koutník Conference proceedings 2008 Springer-Ve

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發(fā)表于 2025-3-21 17:12:20 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Artificial Neural Networks - ICANN 2008
期刊簡稱18th International C
影響因子2023Véra K?rková,Roman Neruda,Jan Koutník
視頻videohttp://file.papertrans.cn/163/162630/162630.mp4
學科分類Lecture Notes in Computer Science
圖書封面Titlebook: Artificial Neural Networks - ICANN 2008; 18th International C Véra K?rková,Roman Neruda,Jan Koutník Conference proceedings 2008 Springer-Ve
影響因子This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The first volume contains papers on mathematical theory of neurocomputing, learning algorithms, kernel methods, statistical learning and ensemble techniques, support vector machines, reinforcement learning, evolutionary computing, hybrid systems, self-organization, control and robotics, signal and time series processing and image processing.
Pindex Conference proceedings 2008
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Several Enhancements to Hermite-Based Approximation of One-Variable Functionscted from the function contributes to the error decrease. We demonstrate how to choose that bias. Secondly we show how to select a basis among orthonormal functions to achieve minimum error for a fixed dimension of an approximation space. Thirdly we prove that loss of orthonormality due to truncatio
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Generalization of Concave and Convex Decomposition in Kikuchi Free Energyon processing. The minimum of Kikuchi free energy is known to yield more accurate marginals than that of Bethe free energy. Concave convex procedure (CCCP) proposed by Yuille is known to be an algorithm which guarantees to monotonically decrease both free energies..In this paper, we generalize CCCP
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Global Dynamics of Finite Cellular Automatae local rules of elementary cellular automata are deduced and the cellular automata configurations are represented via Fourier analysis. This allows for a further analysis of the global dynamics of cellular automata by the use of tools derived from functional analysis and dynamical system theory.
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BICA: A Boolean Indepenedent Component Analysis Approachtors at an intermediate step of a clustering procedure aimed at taking decisions from data. With a “divide et conquer” strategy we first look for a suitable representation of the data and then assign them to clusters. We assume a Boolean coding to be a proper representation of the input of the discr
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