Introduction to Statistical Relational Learning
By
Lise Getoor
Lise Getoor(editor),
Ben Taskar
Ben Taskar(Editor)
2007 • 602 pages

In 'Introduction to Statistical Relational Learning', leading researchers in this emerging area of machine learning describe current formalisms, models, and algorithms that enable effective and robust reasoning about richly structured systems and data.

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11 released books

Adaptive Computation and Machine Learning

Adaptive Computation and Machine Learning is a 11-book series first released in 1993 with contributions by Peter Spirtes, Clark Glymour, and Richard Scheines.

Bioinformatics: The Machine Learning Approach
Introduction to Machine Learning
Gaussian Processes for Machine Learning
Introduction to Statistical Relational Learning
Probabilistic Graphical Models: Principles and Techniques
Boosting: Foundations and Algorithms
Foundations of Machine Learning
Deep Learning
Probabilistic Machine Learning: An Introduction
Distributional Reinforcement Learning

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