Statistical Learning Theory 2024 pdf epub mobi 电子书

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发表于2024-05-16

Statistical Learning Theory 2024 pdf epub mobi 电子书

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Statistical Learning Theory这本书是一本完整阐述了统计机器学习思想的名著。在该书中作者对统计机器学习和传统机器学习的区别的本质进行了详细的论证，并且指出统计机器学习能够对训练样本给出精确的学习效果，并能够回答训练过程需要的样本训练数等一系列问题。

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出版者:Wiley-Interscience

作者:Vladimir N. Vapnik

出品人:

页数:768

译者:

出版时间:1998-9-30

价格:USD 221.00

装帧:Hardcover

isbn号码:9780471030034

丛书系列:

图书标签: 统计学习机器学习 Statistics MachineLearning 数学 Vapnik 统计学 Theory

Statistical Learning Theory 2024 pdf epub mobi 电子书图书描述

A comprehensive look at learning and generalization theory. The statistical theory of learning and generalization concerns the problem of choosing desired functions on the basis of empirical data. Highly applicable to a variety of computer science and robotics fields, this book offers lucid coverage of the theory as a whole. Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.

Statistical Learning Theory 2024 pdf epub mobi 电子书

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