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Titlebook: Challenges for Computational Intelligence; Włodzisław Duch,Jacek Mańdziuk Book 2007 Springer-Verlag Berlin Heidelberg 2007 Statistica.arti

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https://doi.org/10.1007/978-3-540-89185-7ed as an inverse problem defined by an evaluation operator. This reformulation allows one to characterize optimal solutions of learning tasks and design learning algorithms based on numerical solutions of systems of linear equations.
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, and ,, based on Brain Information Processing Mechanism,l Brain may develop oneself to become more sophisticated entity. The OfficeMate will be the first demonstration of these intelligent entities, and will help human workers at offices for scheduling, telephone reception, document preparation, etc. The research scopes for the Artificial Brain and OfficeMate are presented with some recent results.
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The Science of Pattern Recognition. Achievements and Perspectives,he engineering approach to pattern recognition is in this view an attempt to build systems that simulate this phenomenon. By doing that, scientific understanding is gained of what is needed in order to recognize patterns, in general.
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Generalization in Learning from Examples,ed as an inverse problem defined by an evaluation operator. This reformulation allows one to characterize optimal solutions of learning tasks and design learning algorithms based on numerical solutions of systems of linear equations.
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https://doi.org/10.1007/978-3-540-89185-7a biologically plausible representation for addressing the binding problem. The LEGION network lays a computational foundation for oscillatory correlation, which is a special form of temporal correlation. Recent results on visual and auditory scene analysis are described in the oscillatory correlati
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