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

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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 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

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用戶評價

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讀後感

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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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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...

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