Titlebook: Advances in Neural Computation, Machine Learning, and Cognitive Research VII; Selected Papers from Boris Kryzhanovsky,Witali Dunin-Barkowsk

propose

https://doi.org/10.1007/978-0-387-35256-5s processing the text data in the prominent way. Bangla language is the fifth most spoken native language in the world with approximately over 300 million native speakers and another 50 million as second language speakers. In this work, news collected from different online and print newspapers are c

endure

S. Gritzalis,N. Nikitakos,P. Georgiadis as a result of self-organization processes in complex nonlinear systems is investigated. To implement the proposed approach, the theory of metagraphs and granular computations is used. The possibility of using the proposed approach for the study of cognitive processes of intelligent systems and the

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Carminative

Ibd810

Patrick Battistello,Cyril Delétréification tasks. A layer of spiking neurons with non-trainable weights, either fixed on the base of logistic functions or drawn from a uniform random distribution, is shown to be an efficient extractor of meaningful features for their subsequent processing by a linear classifier. The output spiking

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https://doi.org/10.1007/978-0-387-34943-5synaptic plasticity may be most efficient for, for example, unsupervised and supervised learning. In the present paper, we formulate specific requirements to plasticity rules imposed by unsupervised learning problems and construct a novel plasticity model satisfying these requirements. This plastici

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