PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Ran El-Yaniv

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Number of EPrints submitted by this user: 9

Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms
Philip Derbeko, Ran El-Yaniv and Ron Meir
Journal of Artificial Intelligence Research 2004.

Effective Transductive Learning via PAC-Bayesian Model Selection
Ran El-Yaniv and Leonid Gerzon
Pattern Recognition Letters Volume 26, Number 13, pp. 2104-2115, 2005.

Can We Learn to Beat the Best Stock
Allan Borodin, Ran El-Yaniv and Vincent Gogan
Journal of Artificial Intelligence Research Volume 21, pp. 579-594, 2004.

On prediction using variable order Markov models
Ron Begleiter, Ran El-Yaniv and Golan Yona
Journal of Artificial Intelligence Research Volume 22, 2004.

Online Choice of Active Learning Algorithms
Yoram Baram, Ran El-Yaniv and Kobi Luz
Journal of Machine Learning Research Volume 5, 255 -291, 2004.

How to better use expert advice
Rani Yaroshinsky, Ran El-Yaniv and Steven S. Seiden
Machine Learning Volume 55, Number 3, pp. 271-309, 2004.

Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition
Ron Begleiter and Ran El-Yaniv
Journal of Machine Learning Research Volume 7, pp. 379-411, 2006.

Multi-Way Distributional Clustering via Pairwise Interactions
Ron Bekkerman, Ran El-Yaniv and Andrew McCallum
In: ICML 2005, 7-11 August, Bonn, Germany.

Correcting BLAST e-Values for Low-Complexity Segments
Itai Sharon, Aaron Birkland, Kuan Chang, Ran El-Yaniv and Golan Yona
Journal of Computational Biology Volume 12, Number 7, pp. 978-1001, 2005.