ICML 2011 Conference Proceedings Book

- Presents cutting-edge theoretical and empirical research in all areas of machine learning including Bayesian methods, support vector machines, decision tree learning, Gaussian process methods, supervised and semi-supervised learning, learning on sequences and graphs, reinforcement learning, multi-agent learning, clustering, dimensionality reduction, performance evaluation, feature selection, active learning, Monte Carlo methods, ensemble methods, applications such as computer vision, natural language analysis, methods for bioinformatics.

This volume contains the papers accepted to the 28th International Conference on Machine Learning (ICML 2011). ICML is the annual conference of the International Machine Learning Society (IMLS), and provides a venue for the presentation and discussion of current research in the field of machine learning.