Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09
Latest Publications

TOTAL DOCUMENTS

180

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By ACM Press

9781605585161

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Optimized expected information gain for nonlinear dynamical systems

Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09 ◽

10.1145/1553374.1553387 ◽

2009 ◽

Cited By ~ 9

Author(s):

Alberto Giovanni Busetto ◽

Cheng Soon Ong ◽

Joachim M. Buhmann

Keyword(s):

Dynamical Systems ◽

Nonlinear Dynamical Systems ◽

Information Gain ◽

Nonlinear Dynamical ◽

Expected Information ◽

Expected Information Gain

Download Full-text

Compositional noisy-logical learning

Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09 ◽

10.1145/1553374.1553528 ◽

2009 ◽

Author(s):

Alan Yuille ◽

Songfeng Zheng

Download Full-text

Learning linear dynamical systems without sequence information

Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09 ◽

10.1145/1553374.1553430 ◽

2009 ◽

Author(s):

Tzu-Kuo Huang ◽

Jeff Schneider

Keyword(s):

Dynamical Systems ◽

Sequence Information ◽

Linear Dynamical Systems

Download Full-text

Supervised learning from multiple experts

Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09 ◽

10.1145/1553374.1553488 ◽

2009 ◽

Cited By ~ 142

Author(s):

Vikas C. Raykar ◽

Shipeng Yu ◽

Linda H. Zhao ◽

Anna Jerebko ◽

Charles Florin ◽

...

Keyword(s):

Supervised Learning ◽

Multiple Experts

Download Full-text

Curriculum learning

Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09 ◽

10.1145/1553374.1553380 ◽

2009 ◽

Cited By ~ 699

Author(s):

Yoshua Bengio ◽

Jérôme Louradour ◽

Ronan Collobert ◽

Jason Weston

Download Full-text

Domain adaptation from multiple sources via auxiliary classifiers

Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09 ◽

10.1145/1553374.1553411 ◽

2009 ◽

Cited By ~ 117

Author(s):

Lixin Duan ◽

Ivor W. Tsang ◽

Dong Xu ◽

Tat-Seng Chua

Keyword(s):

Domain Adaptation ◽

Multiple Sources

Download Full-text

Good learners for evil teachers

Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09 ◽

10.1145/1553374.1553404 ◽

2009 ◽

Cited By ~ 38

Author(s):

Ofer Dekel ◽

Ohad Shamir

Download Full-text

Robust feature extraction via information theoretic learning

Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09 ◽

10.1145/1553374.1553526 ◽

2009 ◽

Cited By ~ 78

Author(s):

Xiao-Tong Yuan ◽

Bao-Gang Hu

Keyword(s):

Feature Extraction ◽

Information Theoretic ◽

Information Theoretic Learning ◽

Robust Feature Extraction

Download Full-text

Prototype vector machine for large scale semi-supervised learning

Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09 ◽

10.1145/1553374.1553531 ◽

2009 ◽

Cited By ~ 50

Author(s):

Kai Zhang ◽

James T. Kwok ◽

Bahram Parvin

Keyword(s):

Supervised Learning ◽

Large Scale

Download Full-text

Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search

Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09 ◽

10.1145/1553374.1553426 ◽

2009 ◽

Cited By ~ 32

Author(s):

Verena Heidrich-Meisner ◽

Christian Igel

Keyword(s):

Policy Search

Download Full-text

Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ACM Press

Optimized expected information gain for nonlinear dynamical systems

Compositional noisy-logical learning

Learning linear dynamical systems without sequence information

Supervised learning from multiple experts

Curriculum learning

Domain adaptation from multiple sources via auxiliary classifiers

Good learners for evil teachers

Robust feature extraction via information theoretic learning

Prototype vector machine for large scale semi-supervised learning

Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search

Proceedings of the 26th Annual International Conference on Machine Learning - ICML '09
Latest Publications