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Knowledge_Discovery with Support Vector Machines

Knowledge_Discovery with Support Vector Machines

书名:Knowledge_Discovery with Support Vector Machines

上传:auklet2k

时间:2010-04-29

文件大小:5.02 MB

资源出处:查看资源出处 >>

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An easy-to-follow introduction to support vector machinesThis 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.
Tags:DiscoveryKnowledgeMachinesSupportVector


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