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Learning from Data pdf epub mobi 著者簡介

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發表於2024-12-20

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評分☆☆☆☆☆

With finite samples should be framework known as risk minization, rather than density estimation. Three learning methodologies for estimating empirical models from data are explored: 1. Statistical model estimation (rooted in a density estimation approach...

評分☆☆☆☆☆

With finite samples should be framework known as risk minization, rather than density estimation. Three learning methodologies for estimating empirical models from data are explored: 1. Statistical model estimation (rooted in a density estimation approach...

評分☆☆☆☆☆

With finite samples should be framework known as risk minization, rather than density estimation. Three learning methodologies for estimating empirical models from data are explored: 1. Statistical model estimation (rooted in a density estimation approach...

評分☆☆☆☆☆

With finite samples should be framework known as risk minization, rather than density estimation. Three learning methodologies for estimating empirical models from data are explored: 1. Statistical model estimation (rooted in a density estimation approach...

評分☆☆☆☆☆

With finite samples should be framework known as risk minization, rather than density estimation. Three learning methodologies for estimating empirical models from data are explored: 1. Statistical model estimation (rooted in a density estimation approach...

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出版者:Wiley-IEEE Press

作者:Vladimir Cherkassky

出品人:

頁數:538

譯者:

出版時間:2007-8-24

價格:USD 134.00

裝幀:Hardcover

isbn號碼:9780471681823

叢書系列:

評分☆☆☆☆☆

An excellent book summarizes some of the recent trends and future challenges in different learning methods, shows some fundamental principles and methods for learning from data, it establishes a general conceptual framework in which various learning methods from statistics, neural networks, and pattern recognition.

評分☆☆☆☆☆

An excellent book summarizes some of the recent trends and future challenges in different learning methods, shows some fundamental principles and methods for learning from data, it establishes a general conceptual framework in which various learning methods from statistics, neural networks, and pattern recognition.

評分☆☆☆☆☆

An excellent book summarizes some of the recent trends and future challenges in different learning methods, shows some fundamental principles and methods for learning from data, it establishes a general conceptual framework in which various learning methods from statistics, neural networks, and pattern recognition.

評分☆☆☆☆☆

An excellent book summarizes some of the recent trends and future challenges in different learning methods, shows some fundamental principles and methods for learning from data, it establishes a general conceptual framework in which various learning methods from statistics, neural networks, and pattern recognition.

評分☆☆☆☆☆

An excellent book summarizes some of the recent trends and future challenges in different learning methods, shows some fundamental principles and methods for learning from data, it establishes a general conceptual framework in which various learning methods from statistics, neural networks, and pattern recognition.

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