Knowledge Discovery with Support Vector Machines

Beschreibung

An 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.

Autor*in

Lutz H. Hamel

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Computer Science Data Mining Data Mining & Knowledge Discovery Data Mining Statistics Data Mining u. Knowledge Discovery Informatik Software Engineering Software-Engineering Statistics Statistik

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