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Books Books 1 - 10 of about 45 related to Introduction to Statistical Relational Learning.    

Logical and Relational Learning

Luc De Raedt - Computers - 2008 - 387 pages
The first textbook ever to cover multi-relational data mining and inductive logic programming, this book fully explores logical and relational learning. Ideal for graduate ...
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An Inductive Logic Programming Approach to Statistical Relational Learning

Kristian Kersting - Computers - 2006 - 228 pages
In this publication, the author Kristian Kersting has made an assault on one of the hardest integration problems at the heart of Artificial Intelligence research. This involves ...
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Stochastic Local Search: Foundations and Applications

Holger H. Hoos, Thomas Stützle - Business & Economics - 2005 - 658 pages
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems. Offering a systematic treatment ...
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Probabilistic Inductive Logic Programming

Luc De Raedt - Computers - 2008 - 341 pages
This book provides an introduction to probabilistic inductive logic programming. It places emphasis on the methods based on logic programming principles and covers formalisms ...
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Data Mining: Concepts and Techniques

Jiawei Han, Micheline Kamber - Computers - 2001 - 550 pages
Our capabilities of generating and collecting data have increased rapidly in the last decades of the 20th century. This has resulted in an explosive growth of stored data ...
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Markov Logic: An Interface Layer for Artificial Intelligence

Pedro Domingos, Daniel Lowd - Computers - 2009 - 145 pages
Most subfields of computer science have an interface layer via which applications communicate with the infrastructure, and this is key to their success (e.g., the Internet in ...
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Trevor Hastie, Robert Tibshirani, Jerome H. Friedman - Mathematics - 2001 - 533 pages
This book describes the important ideas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples ...
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