Titlebook: Artificial Neural Networks – ICANN 2009; 19th International C Cesare Alippi,Marios Polycarpou,Georgios Ellinas Conference proceedings 2009

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Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expresas generated from the application of the algorithms to 30 different cancer data sets. The knowledge extracted by the meta-learner was useful to understanding the suitability of each clustering algorithm for specific problems.

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Joint Approximate Diagonalization Utilizing AIC-Based Decision in the Jacobi MethodIn this paper, we propose a novel decision condition which is based on Akaike information criterion (AIC). It is derived by assuming each cumulant matrix to be a sample generated independently. In each pair optimization, the condition compares the reduction rate of the objective function with a cons

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https://doi.org/10.1007/3-540-18797-9In this paper, we propose a novel decision condition which is based on Akaike information criterion (AIC). It is derived by assuming each cumulant matrix to be a sample generated independently. In each pair optimization, the condition compares the reduction rate of the objective function with a cons

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0302-9743 ng, computer science, mathematics, artificial intelligence, system theory, biology, operations research, and neuroscience. Artificial neural networks have been 978-3-642-04276-8978-3-642-04277-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Feynmans Pfad zur Quantenelektrodynamik,ortant part of the early vision, retina is a complex but orderly structure, in which the first essential information is processed preliminarily. In this paper, according to anatomic structure, a multi-layer digital retina model is presented to simulate biological retina and it is placed in a physica

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