Titlebook: Learning, Networks and Statistics; Giacomo Riccia,Hans-Joachim Lenz,Rudolf Kruse Conference proceedings 1997 Springer-Verlag Wien 1997 alg

Ford

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书目名称Learning, Networks and Statistics网络公开度




书目名称Learning, Networks and Statistics网络公开度学科排名




书目名称Learning, Networks and Statistics被引频次




书目名称Learning, Networks and Statistics被引频次学科排名




书目名称Learning, Networks and Statistics年度引用




书目名称Learning, Networks and Statistics年度引用学科排名




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伪造

0254-1971 llustrated in problems dealing with neural nets, statistics and networks, classification and data mining, and (machine) learning.978-3-211-82910-3978-3-7091-2668-4Series ISSN 0254-1971 Series E-ISSN 2309-3706

勤勉

Overtraining in Single-Layer Perceptrons for a given situation depends on the number of features, data size and its configuration. In order to obtain a wider range of classifiers in non-linear SLP training, several new complexity control procedures are suggested.

lanugo

mechanical

A General Framework for Supporting Relational Concept Learningal disjunction; such a construct, first used by the AQ and Induce systems, is here made operational via a set of algorithms, capable to learn it, for both the discrete and the continuous-valued attributes case. These algorithms are embedded in learning systems using different paradigms, such as symbolic, genetic or connectionist ones.

烦忧

IRK

Fuzzy Shell Cluster Analysisn of the data set. Subsequently therefore we review the main ideas of unsupervised fuzzy shell cluster analysis. Finally we present an application of unsupervised fuzzy shell cluster analysis in computer vision.

plasma

动物

CHAR