Shai Fine

Maria-Florina Balcan, Avrim Blum, Shai Fine, Yishay Mansour: Distributed Learning, Communication Complexity and Privacy. Journal of Machine Learning Research - Proceedings Track 23: 26.1-26.22 (2012)

Maria-Florina Balcan, Avrim Blum, Shai Fine, Yishay Mansour: Distributed Learning, Communication Complexity and Privacy. CoRR abs/1204.3514 (2012)

Ehud Aharoni, Shai Fine, Yaara Goldschmidt, Ofer Lavi, Oded Margalit, Michal Rosen-Zvi, Lavi Shpigelman: Smarter log analysis. IBM Journal of Research and Development 55(5): 10 (2011)

Dorit Baras, Shai Fine, Laurent Fournier, Dan Geiger, Avi Ziv: Automatic boosting of cross-product coverage using Bayesian networks. STTT 13(3): 247-261 (2011)

Shai Fine, Laurent Fournier, Avi Ziv: Using Bayesian networks and virtual coverage to hit hard-to-reach events. STTT 11(4): 291-305 (2009)

Shady Copty, Shai Fine, Shmuel Ur, Elad Yom-Tov, Avi Ziv: A probabilistic alternative to regression suites. Theor. Comput. Sci. 404(3): 219-234 (2008)

Dan Goldwasser, Ofer Strichman, Shai Fine: A Theory-Based Decision Heuristic for DPLL(T). FMCAD 2008: 1-8

Shai Fine, Yishay Mansour: Active sampling for multiple output identification. Machine Learning 69(2-3): 213-228 (2007)

Shai Fine, Ari Freund, Itai Jaeger, Yishay Mansour, Yehuda Naveh, Avi Ziv: Harnessing Machine Learning to Improve the Success Rate of Stimuli Generation. IEEE Trans. Computers 55(11): 1344-1355 (2006)

Shai Fine, Yishay Mansour: Active Sampling for Multiple Output Identification. COLT 2006: 620-634

Tzur Sayag, Shai Fine, Yishay Mansour: Combining Multiple Heuristics. STACS 2006: 242-253

Shai Fine, Ari Freund, Itai Jaeger, Yehuda Naveh, Avi Ziv, Yishay Mansour: Harnessing machine learning to improve the success rate of stimuli generation. HLDVT 2005: 112-118

Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow: Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval. SIGIR 2005: 512-519

Elad Yom-Tov, David Carmel, Adam Darlow, Dan Pelleg, Shai Errera-Yaakov, Shai Fine: Juru at TREC 2005: Query Prediction in the Terabyte and the Robust Tracks. TREC 2005

Shai Fine, Shmuel Ur, Avi Ziv: Probabilistic regression suites for functional verification. DAC 2004: 49-54

Markus Braun, Shai Fine, Avi Ziv: Enhancing the efficiency of Bayesian network based coverage directed test generation. HLDVT 2004: 75-80

Shady Copty, Shai Fine, Shmuel Ur, Avi Ziv: Probabilistic Alternative Regression Suites. ISoLA (Preliminary proceedings) 2004: 89-91

Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow, Einat Amitay: Juru at TREC 2004: Experiments with Prediction of Query Difficulty. TREC 2004

Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby: Discriminative Feature Selection via Multiclass Variable Memory Markov Model. EURASIP J. Adv. Sig. Proc. 2003(2): 93-102 (2003)

Shai Fine, Avi Ziv: Coverage directed test generation for functional verification using bayesian networks. DAC 2003: 286-291

Shai Fine, Avi Ziv: Enhancing the control and efficiency of the covering process [logic verification]. HLDVT 2003: 96-101

Shai Fine, Ran Gilad-Bachrach, Eli Shamir: Query by committee, linear separation and random walks. Theor. Comput. Sci. 284(1): 25-51 (2002)

Shai Fine, George Saon, Ramesh A. Gopinath: Digit recognition in noisy environments via a sequential GMM/SVM system. ICASSP 2002: 49-52

Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby: Discriminative Feature Selection via Multiclass Variable Memory Markov Model. ICML 2002: 578-585

Shai Fine, Katya Scheinberg: Efficient SVM Training Using Low-Rank Kernel Representations. Journal of Machine Learning Research 2: 243-264 (2001)

Shai Fine, Jiri Navratil, Ramesh A. Gopinath: Enhancing GMM scores using SVM "hints". INTERSPEECH 2001: 1757-1760

Shai Fine, Katya Scheinberg: Incremental Learning and Selective Sampling via Parametric Optimization Framework for SVM. NIPS 2001: 705-711

Ran Bachrach, Shai Fine, Eli Shamir: Query by Committee, Linear Separation and Random Walks. EuroCOLT 1999: 34-49

Shai Fine, Yoram Singer, Naftali Tishby: The Hierarchical Hidden Markov Model: Analysis and Applications. Machine Learning 32(1): 41-62 (1998)

Ran El-Yaniv, Shai Fine, Naftali Tishby: Agnostic Classification of Markovian Sequences. NIPS 1997