Shai Fine

According to our database1, Shai Fine authored at least 29 papers between 1997 and 2018.

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Bibliography

2018
Characterizing patient compliance over six months in remote digital trials of Parkinson's and Huntington disease.
BMC Med. Inf. & Decision Making, 2018

2012
Distributed Learning, Communication Complexity and Privacy.
Proceedings of the COLT 2012, 2012

2011
Automatic boosting of cross-product coverage using Bayesian networks.
STTT, 2011

Smarter log analysis.
IBM Journal of Research and Development, 2011

2009
Using Bayesian networks and virtual coverage to hit hard-to-reach events.
STTT, 2009

2008
A probabilistic alternative to regression suites.
Theor. Comput. Sci., 2008

A Theory-Based Decision Heuristic for DPLL(T).
Proceedings of the Formal Methods in Computer-Aided Design, 2008

2006
Harnessing Machine Learning to Improve the Success Rate of Stimuli Generation.
IEEE Trans. Computers, 2006

Combining Multiple Heuristics.
Proceedings of the STACS 2006, 2006

Active Sampling for Multiple Output Identification.
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2005
Juru at TREC 2005: Query Prediction in the Terabyte and the Robust Tracks.
Proceedings of the Fourteenth Text REtrieval Conference, 2005

Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Harnessing machine learning to improve the success rate of stimuli generation.
Proceedings of the Tenth IEEE International High-Level Design Validation and Test Workshop 2005, Napa Valley, CA, USA, November 30, 2005

2004
Juru at TREC 2004: Experiments with Prediction of Query Difficulty.
Proceedings of the Thirteenth Text REtrieval Conference, 2004

Probabilistic Alternative Regression Suites.
Proceedings of the International Symposium on Leveraging Applications of Formal Methods, 2004

Enhancing the efficiency of Bayesian network based coverage directed test generation.
Proceedings of the Ninth IEEE International High-Level Design Validation and Test Workshop 2004, 2004

Probabilistic regression suites for functional verification.
Proceedings of the 41th Design Automation Conference, 2004

2003
Enhancing the control and efficiency of the covering process [logic verification].
Proceedings of the Eighth IEEE International High-Level Design Validation and Test Workshop 2003, 2003

Coverage directed test generation for functional verification using bayesian networks.
Proceedings of the 40th Design Automation Conference, 2003

2002
Query by committee, linear separation and random walks.
Theor. Comput. Sci., 2002

Discriminative Feature Selection via Multiclass Variable Memory Markov Model.
Proceedings of the Machine Learning, 2002

Digit recognition in noisy environments via a sequential GMM/SVM system.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Efficient SVM Training Using Low-Rank Kernel Representations.
Journal of Machine Learning Research, 2001

Incremental Learning and Selective Sampling via Parametric Optimization Framework for SVM.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Enhancing GMM scores using SVM "hints".
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

A hybrid GMM/SVM approach to speaker identification.
Proceedings of the IEEE International Conference on Acoustics, 2001

1999
Query by Committee, Linear Separation and Random Walks.
Proceedings of the Computational Learning Theory, 4th European Conference, 1999

1998
The Hierarchical Hidden Markov Model: Analysis and Applications.
Machine Learning, 1998

1997
Agnostic Classification of Markovian Sequences.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997


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