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Introduction to Conditional Random Fields

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ISBN-10: 160198572X

ISBN-13: 9781601985729

Edition: 2012

Authors: Charles Sutton, Andrew McCallum

List price: $85.00
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Description:

In modern applications of machine learning, predicting a single class label is often not enough. Instead we want to predict a large number of variables that depend on each other, such as a class label for every word in a document or for every region in an image. This structured prediction problem is significantly harder than the simple classification problem because we want to learn how the different labels depend on each other. Conditional random fields provide a powerful solution to this problem. They combine the advantages of classification and graphical modeling as they join the ability of graphical models to compactly model multivariate data with the ability of classification methods…    
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Book details

List price: $85.00
Copyright year: 2012
Publisher: Now Publishers
Publication date: 8/23/2012
Binding: Paperback
Pages: 120
Size: 6.14" wide x 9.21" long x 0.26" tall
Weight: 0.396
Language: English

Andrew McCallum is Senior Lecturer in Education at London Metropolitan University.