Shai Fine

	2008
19		Dan Goldwasser, Ofer Strichman, Shai Fine: A Theory-Based Decision Heuristic for DPLL(T). FMCAD 2008: 1-8
18		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)
	2007
17		Shai Fine, Yishay Mansour: Active sampling for multiple output identification. Machine Learning 69(2-3): 213-228 (2007)
	2006
16		Shai Fine, Yishay Mansour: Active Sampling for Multiple Output Identification. COLT 2006: 620-634
15		Tzur Sayag, Shai Fine, Yishay Mansour: Combining Multiple Heuristics. STACS 2006: 242-253
14		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)
	2005
13		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
12		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
	2004
11		Shai Fine, Shmuel Ur, Avi Ziv: Probabilistic regression suites for functional verification. DAC 2004: 49-54
10		Shady Copty, Shai Fine, Shmuel Ur, Avi Ziv: Probabilistic Alternative Regression Suites. ISoLA (Preliminary proceedings) 2004: 89-91
9		Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow, Einat Amitay: Juru at TREC 2004: Experiments with Prediction of Query Difficulty. TREC 2004
	2003
8		Shai Fine, Avi Ziv: Coverage directed test generation for functional verification using bayesian networks. DAC 2003: 286-291
	2002
7		Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby: Discriminative Feature Selection via Multiclass Variable Memory Markov Model. ICML 2002: 578-585
6		Shai Fine, Ran Gilad-Bachrach, Eli Shamir: Query by committee, linear separation and random walks. Theor. Comput. Sci. 284(1): 25-51 (2002)
	2001
5		Shai Fine, Katya Scheinberg: Incremental Learning and Selective Sampling via Parametric Optimization Framework for SVM. NIPS 2001: 705-711
4		Shai Fine, Katya Scheinberg: Efficient SVM Training Using Low-Rank Kernel Representations. Journal of Machine Learning Research 2: 243-264 (2001)
	1999
3		Ran Bachrach, Shai Fine, Eli Shamir: Query by Committee, Linear Separation and Random Walks. EuroCOLT 1999: 34-49
	1998
2		Shai Fine, Yoram Singer, Naftali Tishby: The Hierarchical Hidden Markov Model: Analysis and Applications. Machine Learning 32(1): 41-62 (1998)
	1997
1		Ran El-Yaniv, Shai Fine, Naftali Tishby: Agnostic Classification of Markovian Sequences. NIPS 1997

Coauthor Index

1	Einat Amitay	[9]
2	Gill Bejerano	[7]
3	David Carmel	[9] [12] [13]
4	Shady Copty	[10] [18]
5	Adam Darlow	[9] [12] [13]
6	Ran El-Yaniv	[1]
7	Shai Errera-Yaakov	[12]
8	Ari Freund	[14]
9	Ran Gilad-Bachrach (Ran Bachrach)	[3] [6]
10	Dan Goldwasser	[19]
11	Itai Jaeger	[14]
12	Yishay Mansour	[14] [15] [16] [17]
13	Yehuda Naveh	[14]
14	Dan Pelleg	[12]
15	Tzur Sayag	[15]
16	Katya Scheinberg	[4] [5]
17	Eli Shamir	[3] [6]
18	Yoram Singer	[2]
19	Noam Slonim	[7]
20	Ofer Strichman	[19]
21	Naftali Tishby	[1] [2] [7]
22	Shmuel Ur	[10] [11] [18]
23	Elad Yom-Tov	[9] [12] [13] [18]
24	Avi Ziv	[8] [10] [11] [14] [18]

Colors in the list of coauthors