Advances in Large-Margin Classifiers pdf epub mobi txt 电子书下载 2024

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

Mit Pr

2000-9

422

$ 62.15

HRD

9780262194488

图书标签: 机器学习

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发表于2024-11-11

Advances in Large-Margin Classifiers epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024

Advances in Large-Margin Classifiers pdf epub mobi txt 电子书下载 2024

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.

Advances in Large-Margin Classifiers 下载 mobi epub pdf txt 电子书