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Artificial Intelligence

ResBoost: characterizing and predicting catalytic residues in enzymes

ResBoost: characterizing and predicting catalytic residues in enzymes, Ron Alterovitz, Aaron Arvey, Sriram Sankararaman, Carolina Dallett, Yoav Freund, and Kimmen Sjolander, BMC Bioinformatics, June, Volume 10, Number 1, p.197, (2009). URL PDF

Minimal-length linearizations for mildly context-sensitive dependency trees

Minimal-length linearizations for mildly context-sensitive dependency trees, Albert Y. Park, and Roger Levy, Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, May, Stroudsburg, PA, USA, p.335–343, (2009). NAACL '09. Boulder, Colorado. URL PDF

A Spectral Algorithm for Learning Hidden Markov Models

A Spectral Algorithm for Learning Hidden Markov Models, Daniel Hsu, Sham M. Kakade, and Tong Zhang, Proceedings of the 22nd Annual Conference on Learning Theory, June, (2008). COLT-0. Montreal, Canada. PDF

Dynamic texture models of music

Dynamic texture models of music, L. Barrington, A. B. Chan, and G. Lanckriet, Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on, April, p.1589 -1592, (2009). Taipei, Taiwan. PDF

Escaping the curse of dimensionality with a tree-based regressor

Escaping the curse of dimensionality with a tree-based regressor, Samory Kpotufe, Proceedings of the 22nd Annual Conference on Learning Theory, June, (2009). COLT-09. Montreal, Canada. PDF

Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models

Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models, Youngmin Cho, and L. K. Saul, Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on, April, p.1705 -1708, (2009). Taipei, Taiwan. PDF

Which spatial partition trees are adaptive to intrinsic dimension?

Which spatial partition trees are adaptive to intrinsic dimension?, Nakul Verma, Samory Kpotufe, and Sanjoy Dasgupta, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, June, Arlington, Virginia, United States, p.565–574, (2009). UAI '09. Montreal, Quebec, Canada. URL

Importance weighted active learning

Importance weighted active learning, Alina Beygelzimer, Sanjoy Dasgupta, and John Langford, Proceedings of the 26th Annual International Conference on Machine Learning, June, New York, NY, USA, p.49-56, (2009). ICML '09. Montreal, Quebec, Canada. URL PDF

SUN: Top-down saliency using natural statistics

SUN: Top-down saliency using natural statistics, C. Kanan, M. H. Tong, L. Zhang, and G. W. Cottrell, Visual Cognition, April, Volume 17, Number 6, p.979–1003, (2009). URL PDF
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by Dr. Radut.