Neural Network Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Martin Anthony 作者

Cambridge University Press

译者

1999 出版日期

403 页数

$ 166.11 价格

丛书系列

9780521573535 图书编码

Neural Network Learning 在线电子书图书标签: Machine Learning

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发表于2024-11-23

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Neural Network Learning 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Neural Network Learning 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Neural Network Learning 在线电子书图书描述

First published in 1999, this book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. Research on pattern classification with binary-output networks is surveyed, including a discussion of the relevance of the Vapnik-Chervonenkis dimension, and calculating estimates of the dimension for several neural network models. A model of classification by real-output networks is developed, and the usefulness of classification with a 'large margin' is demonstrated. The authors explain the role of scale-sensitive versions of the Vapnik-Chervonenkis dimension in large margin classification, and in real prediction. They also discuss the computational complexity of neural network learning, describing a variety of hardness results, and outlining two efficient constructive learning algorithms. The book is self-contained and is intended to be accessible to researchers and graduate students in computer science, engineering, and mathematics.

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