Innovations in Machine Learning: Theory and Applications

by Lakhmi C. Jain

Book Overview

A Bayesian Approach to Causal Discovery.- A Tutorial on Learning Causal Influence.- Learning Based Programming.- N-1 Experiments Suffice to Determine the Causal Relations Among N Variables.- Support Vector Inductive Logic Programming.- Neural Probabilistic Language Models.- Computational Grammatical Inference.- On Kernel Target Alignment.- The Structure of Version Space.

• Format: Paperback
• Language: English
• ISBN: 3642067883
• ISBN13: 9783642067884
• Release Date: November 2010
• Publisher: Springer
• Length: 276 Pages
• Weight: 0.91 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"