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![]( "Buchcover ISBN 9781118211038")
Knowledge Discovery with Support Vector Machines
von Lutz H. HamelAn easy-to-follow introduction to support vector machines
This book provides an in-depth, easy-to-follow introduction tosupport vector machines drawing only from minimal, carefullymotivated technical and mathematical background material. It beginswith a cohesive discussion of machine learning and goes on tocover:
* Knowledge discovery environments
* Describing data mathematically
* Linear decision surfaces and functions
* Perceptron learning
* Maximum margin classifiers
* Support vector machines
* Elements of statistical learning theory
* Multi-class classification
* Regression with support vector machines
* Novelty detection
Complemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support VectorMachines is an invaluable textbook for advanced undergraduateand graduate courses. It is also an excellent tutorial on supportvector machines for professionals who are pursuing research inmachine learning and related areas.
This book provides an in-depth, easy-to-follow introduction tosupport vector machines drawing only from minimal, carefullymotivated technical and mathematical background material. It beginswith a cohesive discussion of machine learning and goes on tocover:
* Knowledge discovery environments
* Describing data mathematically
* Linear decision surfaces and functions
* Perceptron learning
* Maximum margin classifiers
* Support vector machines
* Elements of statistical learning theory
* Multi-class classification
* Regression with support vector machines
* Novelty detection
Complemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support VectorMachines is an invaluable textbook for advanced undergraduateand graduate courses. It is also an excellent tutorial on supportvector machines for professionals who are pursuing research inmachine learning and related areas.
