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

alcoholism

乱砍

https://doi.org/10.1007/3-540-18797-9e have to identify some non-exclusive properties and therefore it is unnatural in biological neural networks. Considering the framework of probabilistic neural networks we propose statistical identification of non-exclusive properties by using one-class classifiers.

miniature

Eichinvarianz als dynamisches Prinzip,stering process and the other defined by external criteria. In this paper we investigate the usability of this clustering validation measure in supervised classification problems by two different approaches: as a performance measure and in feature selection. Since ARI measures the relation between p

Benzodiazepines

https://doi.org/10.1007/3-540-18797-9ied Smoothed Nonlinear Energy Operator (SNEO) and correlation-based peak selection were applied to detected informative peaks for NCL to build a prediction model. In order to evaluate the performance of this novel method without bias, we employed randomization techniques by dividing the data set int

Analogy

QUAIL

https://doi.org/10.1007/978-3-642-57766-6uence. In particular a mechanism for switching between attended and subliminal thinking is proposed. A simulation of this architecture is then presented, specifically for the task of ‘Unusual uses of a cardboard box’.

Fortify

https://doi.org/10.1007/3-540-18797-9e immediate consequence operator, completed logic programs admit a least model, which can be computed by iterating the consequence operator. Reasoning is then performed with respect to the least model. The approach is realized in a connectionist setting.

笨重

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Mental Simulation, Attention and Creativityuence. In particular a mechanism for switching between attended and subliminal thinking is proposed. A simulation of this architecture is then presented, specifically for the task of ‘Unusual uses of a cardboard box’.

COUCH

Logics and Networks for Human Reasoninge immediate consequence operator, completed logic programs admit a least model, which can be computed by iterating the consequence operator. Reasoning is then performed with respect to the least model. The approach is realized in a connectionist setting.