9780470371923
Knowledge Discovery With Support Vector Machines - Hamel
Wiley-Interscience (2009)
In Collection
#5115

Read It:
Yes
Computer algorithms, Data mining, Data mining, Machine learning, Support Vector Machines

Wiley Series on Methods and Applications in Data Mining Daniel T. Larose, Series Editor Knowledge Discovery with Support Vector Machines Lutz Hamel 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.

Product Details
LoC Classification Q325.5 .H38 2009
Dewey 005.1
No. of Pages 266
Height x Width 239 x 164 mm