Learning with Kernels pdf epub mobi txt 電子書 下載 2024


Learning with Kernels

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Bernhard Schlkopf
The MIT Press
2018-6-5
648
USD 76.00
Paperback
Adaptive Computation and Machine Learning
9780262536578

圖書標籤: 機器學習  人工智能  計算機  TML  ML   


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发表于2024-11-08

Learning with Kernels epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

Learning with Kernels epub 下載 mobi 下載 pdf 下載 txt 電子書 下載 2024

Learning with Kernels pdf epub mobi txt 電子書 下載 2024



圖書描述

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically elegant learning machines that use a central concept of SVMs―-kernels―for a number of learning tasks. Kernel machines provide a modular framework that can be adapted to different tasks and domains by the choice of the kernel function and the base algorithm. They are replacing neural networks in a variety of fields, including engineering, information retrieval, and bioinformatics.

Learning with Kernels provides an introduction to SVMs and related kernel methods. Although the book begins with the basics, it also includes the latest research. It provides all of the concepts necessary to enable a reader equipped with some basic mathematical knowledge to enter the world of machine learning using theoretically well-founded yet easy-to-use kernel algorithms and to understand and apply the powerful algorithms that have been developed over the last few years.

Learning with Kernels 下載 mobi epub pdf txt 電子書

著者簡介

Bernhard Schölkopf is Director at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. He is coauthor of Learning with Kernels (2002) and is a coeditor of Advances in Kernel Methods: Support Vector Learning (1998), Advances in Large-Margin Classifiers (2000), and Kernel Methods in Computational Biology (2004), all published by the MIT Press.


圖書目錄


Learning with Kernels pdf epub mobi txt 電子書 下載
想要找書就要到 小哈圖書下載中心
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

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讀後感

評分

It is an excellent book about learning with kernels. Another issue related to kernels is learning kernels, not learning with kernels. Kernel learning has a long history in research and is important in SVM because it has pretty theoretical properties.  

評分

This book is a good introductory material for kernel-based machine learning tools. The first part provides an reviews on the required mathematic tools in decision theory (risk and lost functions), statical learning theory and optimization theory. I strongly...  

評分

This book is a good introductory material for kernel-based machine learning tools. The first part provides an reviews on the required mathematic tools in decision theory (risk and lost functions), statical learning theory and optimization theory. I strongly...  

評分

It is an excellent book about learning with kernels. Another issue related to kernels is learning kernels, not learning with kernels. Kernel learning has a long history in research and is important in SVM because it has pretty theoretical properties.  

評分

It is an excellent book about learning with kernels. Another issue related to kernels is learning kernels, not learning with kernels. Kernel learning has a long history in research and is important in SVM because it has pretty theoretical properties.  

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Learning with Kernels pdf epub mobi txt 電子書 下載 2024


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