Related Books
Language: en
Pages: 119
Pages: 119
Type: BOOK - Published: 2012 - Publisher:
Many tasks involve predicting a large number of variables that depend on each other as well as on other observed variables. Structured prediction methods are es
Language: en
Pages: 120
Pages: 120
Type: BOOK - Published: 2012 - Publisher: Now Pub
An Introduction to Conditional Random Fields provides a comprehensive tutorial aimed at application-oriented practitioners seeking to apply CRFs. The monograph
Language: en
Pages: 207
Pages: 207
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
In this book we study Markov random functions of several variables. What is traditionally meant by the Markov property for a random process (a random function o
Language: en
Pages: 472
Pages: 472
Type: BOOK - Published: 2011-07-22 - Publisher: MIT Press
State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study. This volume demonstrates the power of the Markov random fi
Language: en
Pages: 280
Pages: 280
Type: BOOK - Published: 2005-02-18 - Publisher: CRC Press
Gaussian Markov Random Field (GMRF) models are most widely used in spatial statistics - a very active area of research in which few up-to-date reference works a