Neural Networks and Machine Learning
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Beschreibung
Proceedings of the NATO Advanced Study Institute on Generalization in Neural Networks and Machine Learning, held in Cambridge, U.K., August 4-15, 1997
In recent years neural computing has emerged as a practical technology, with successful applications in many fields. The majority of these applications are concerned with problems in pattern recognition, and make use of feedforward network architectures such as the multilayer perceptron and the radial basis function network. Also, it has become widely acknowledged that successful applications of neural computing require a principled, rather than ad hoc, approach.
(From the preface to "Neural Networks for Pattern Recognition" by C.M. Bishop, Oxford Univ Press 1995.)
This NATO volume, based on a 1997 workshop, presents a coordinated series of tutorial articles covering recent developments in the field of neural computing. It is ideally suited to graduate students and researchers.
Latest developments in neural computing, the most promising approach to pattern recognition applications
Expert reports on state of the art in neural computing, on both principles and practical applications
Volume editor is leader in field, now with Microsoft and formerly in nuclear fusion plasma containment research
Autor*in
Christopher M. Bishop
Themen in »Neural Networks and Machine Learning«
Generalization Probability cognition knowledge learning machine learning neural networks pattern recognition