Kniha Knowledge Discovery with Support Vector Machines Lutz H. Hamel

Knowledge Discovery with Support Vector Machines

Autor: Lutz H. Hamel
Jazyk: Angličtina
Vazba: Pevná
Dostupnost: Skladem u dodavatele
Odesíláme za 9-15 dnů
3 199
An easy-to-follow introduction to support vector machines This book provides an in-depth, easy-to-f...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2009
Stránek
262
EAN
9780470371923
ISBN
0470371927
Enbook ID
04882927
Hmotnost
534
Rozměry
237 x 163 x 19

Kompletní popis

An easy-to-follow introduction to support vector machines This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover: 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 Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas.

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