Titlebook: Advances in Neuro-Information Processing; 15th International C Mario Köppen,Nikola Kasabov,George Coghill Conference proceedings 2009 Sprin

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Distributive Lattices Lattice-Groups,software products, activity of companies, or the main topic of web pages. Neurocognitive mechanisms responsible for this process are partially understood and in a simplified form may be implemented in a computational model. An algorithm based on such inspirations is described and tested, generating

Infantry

Commutative Algebras of Toeplitz Operators,achines, AddaboostM1 and Hidden Layer Learning Vector Quantization. The scoring models were tested on a large dataset from a Portuguese bank. Results are benchmarked against traditional methods under consideration for commercial applications. A measure of the usefulness of a scoring model is present

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Bergman and Poly-Bergman Spaces,ent and supervised learning algorithms to accomplish the sub-goals of a mission of building adaptive controller. The approach iteratively improves its control strategies by exploiting only relevant parts of action and is able to learn completely in on-line mode. To illustrate this, it has been appli

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Bergman and Poly-Bergman Spaces, work focuses on the pursuit of accurate results but neglects the reasoning process. This “black-box” feature is the main drawback of artificial neural network mining models. However, the practicability of many mining tasks relies not only on accuracy, reliability and tolerance but also on the expla

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