[PDF.34gu] Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning series)
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Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning series)
From The MIT Press
[PDF.tn66] Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning series)
Introduction to Statistical Relational From The MIT Press epub Introduction to Statistical Relational From The MIT Press pdf download Introduction to Statistical Relational From The MIT Press pdf file Introduction to Statistical Relational From The MIT Press audiobook Introduction to Statistical Relational From The MIT Press book review Introduction to Statistical Relational From The MIT Press summary
| #164848 in Books | 2007-08-31 | Original language:English | PDF # 1 | 10.00 x1.00 x8.00l,3.07 | File type: PDF | 608 pages||1 of 8 people found the following review helpful.| Five Stars|By Lappoon Rupert Tang|Book arrived perfectly.|About the Author||Lise Getoor is Assistant Professor in the Department of Computer Science at the University of Maryland.
Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications.
Handling inherent uncertainty and exploiting compositional structure are fundamental to understanding and designing large-scale systems. Statistical relational learning builds on ideas from probability theory and statis...
You easily download any file type for your device.Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning series) | From The MIT Press.Not only was the story interesting, engaging and relatable, it also teaches lessons.