Introduction to Statistical Relational Learning
Introduction to Statistical Relational Learning Edited by Lise Getoor and Ben Taskar Published by The MIT Press 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 statistics to address uncertainty while incorporating tools from logic, dat
GPUML: GPU for Machine Learning
Welcome to the GPUML library home page. GPUML is a library that provides a C/C++ and MATLAB interface for speeding up the computation of the weighted kernel summation and kernel matrix construction on GPU. These computations occur commonly in several machine learning algorithms like kernel density estimation, kernel regression, kernel PCA, etc. The algorithms used to implement the library are as b
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Statistical Relational Learning: A Tutorial
