[PDF.15vq] An Introduction to Conditional Random Fields (Foundations and Trends(r) in Machine Learning)

An Introduction to Conditional Random Fields (Foundations and Trends(r) in Machine Learning)

[PDF.tb68] An Introduction to Conditional Random Fields (Foundations and Trends(r) in Machine Learning)

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 | #3961987 in Books |  2012-08-10 | Original language:English | PDF # 1 |  9.21 x.25 x6.14l,.39 | File type: PDF | 120 pages

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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 power...

You easily download any file type for your device.An Introduction to Conditional Random Fields (Foundations and Trends(r) in Machine Learning)   |  Charles Sutton, Andrew McCallum. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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