Advances in Large-Margin Classifiers 2025 pdf epub mobi 电子书

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发表于2025-03-20

Advances in Large-Margin Classifiers 2025 pdf epub mobi 电子书

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出版者:Mit Pr

作者:Smola, Alexander J. (EDT)/ Bartlett, Peter J. (EDT)/ Scholkopf, Bernhard (EDT)/ Schuurmans, Dale (ED

出品人:

页数:422

译者:

出版时间:2000-9

价格:$ 62.15

装帧:HRD

isbn号码:9780262194488

丛书系列:

图书标签: 机器学习

Advances in Large-Margin Classifiers 2025 pdf epub mobi 电子书图书描述

The concept of large margins is a unifying principle for the analysis of many different approaches to the classification of data from examples, including boosting, mathematical programming, neural networks, and support vector machines. The fact that it is the margin, or confidence level, of a classification--that is, a scale parameter--rather than a raw training error that matters has become a key tool for dealing with classifiers. This book shows how this idea applies to both the theoretical analysis and the design of algorithms.The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths and weaknesses of the method, as well as directions for future research. Among the contributors are Manfred Opper, Vladimir Vapnik, and Grace Wahba.

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