Journals

IEEE   
The ACM Digital Library    
JSTOR   
Journal of Artificial Intelligence Research (JAIR)    
Artificial Intelligence    
Artificial Intelligence Review    
SIAM's Online Journal Archive   
Numerische Mathematik    
Journal of Machine Learning Research (JMLR)    
Machine Learning    
Neural Networks   
Neural Compuation   
Neural Processing Letters   
International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI)    
Information Fusion    
ICML 2005 papers    
NIPS 2005 papers    
AAMAS 2005 papers    

Conferences

International World Wide Web Conference    
International Conference on Automated Planning & Scheduling (ICAPS)    
Neural Information Processing Systems (NIPS)    
International Conference on Machine Learning (ICML)    
Uncertainty in Artificial Intelligence (UAI)   
National Conference on Artificial Intelligence (AAAI)    
Annual Conference on Learning Theory (COLT)     In general    
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)    
CAMDA 2006    
Genetic and Evolutionary Computation Conference    

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)    
IEEE International Conference on Robotics and Automation (ICRA)     2006    
International Joint Conference on Artificial Intelligence (IJCAI)    
International Joint Conference on AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (AAMAS)    
ACM Symposium on Theory of Computing (STOC)    
Snowbird Learning Workshop    
Upcoming Conferences and Workshops    
Conference Lists of Interest to KDRG Group    

Other research resources

Wikipedia   
CiteSeer    Learning Theory Notes   
Terence Tao's Blog   
Schapire's Notes    Variational Methods   
Reinforcement Learning: An Introduction    Variational Methods for Approximate Bayesian Learning   
History of Mathematics    A collection of reading groups   
Zoubin Ghahramani's Papers    Tommi Jaakkola's Reading Group   
Graphical Models Reading Group at CMU    Machine Learning Reading Group at Cornell   
Dimensionality Reduction and Manifold Learning Reading Group at UPENN    Online Machine Learning Resources    UCI Databases   
Pattern Recognition, Statistics, Computer Vision, etc     Mobile Robotics    Boosting and Game-theory   
Mutual Learning in Multiagents    ADAPTION AND LEARNING IN MULTI-AGENT SYSTEMS   
Publications of Blum at CMU    Continuation Methods   
EP    Boosting    Ensemble Learning   
analysis of spatial data    The International Machine Learning Society   
Statistical Regularization and Learning Theory    Machine Learning (Theory)    
Yishay Mansour - Publications     Leslie Pack Kaelbling's papers     S. Thrun's Publications    
Andrew Ng's Publications     Michael Kearns's Publications     James Bagnell's Publications    
Michael Littman's Publications     SHAM M. KAKADE's Publications    
Jeff Schneider's Publications     Peter Bartlett's Publications    
Craig Boutilier's Recent Papers     Geoffrey J. Gordon's Papers    
label sequence learning     Terran Lane at University of New Mexico    
Computer Graphics Bookmarks    

Academia

academic keys     The Chronicle of Higher Education    
The Times Higher Education Supplement    
Higher Education Resource Hub    

Beta systems

EPS game     Make 3d model from single still image