Dan Geiger

	2009
63		Dan Geiger, Christopher Meek, Ydo Wexler: Speeding up HMM algorithms for genetic linkage analysis via chain reductions of the state space. Bioinformatics 25(12): (2009)
	2008
62		Mark Silberstein, Assaf Schuster, Dan Geiger, Anjul Patney, John D. Owens: Efficient computation of sum-products on GPUs through software-managed cache. ICS 2008: 309-318
61		Sivan Bercovici, Dan Geiger, Liran Shlush, Karl Skorecki, Alan Templeton: Panel Construction for Mapping in Admixed Populations Via Expected Mutual Information. RECOMB 2008: 435-449
60		Ydo Wexler, Dan Geiger: Variational Upper and Lower Bounds for Probabilistic Graphical Models. Journal of Computational Biology 15(7): 721-735 (2008)
	2007
59		Ydo Wexler, Dan Geiger: Variational Upper Bounds for Probabilistic Phylogenetic Models. RECOMB 2007: 226-237
58		Ron Zohar, Dan Geiger: Estimation of flows in flow networks. European Journal of Operational Research 176(2): 691-706 (2007)
	2006
57		Mark Silberstein, Dan Geiger, Assaf Schuster: A Distributed System for Genetic Linkage Analysis. GCCB 2006: 110-123
56		Mark Silberstein, Dan Geiger, Assaf Schuster, Miron Livny: Scheduling Mixed Workloads in Multi-grids: The Grid Execution Hierarchy. HPDC 2006: 291-302
55		Dan Geiger, Christopher Meek, Ydo Wexler: A Variational Inference Procedure Allowing Internal Structure for Overlapping Clusters and Deterministic Constraints. J. Artif. Intell. Res. (JAIR) 27: 1-23 (2006)
	2005
54		Ydo Wexler, Zohar Yakhini, Yechezkel Kashi, Dan Geiger: Finding Approximate Tandem Repeats in Genomic Sequences. Journal of Computational Biology 12(7): 928-942 (2005)
53		Dmitry Rusakov, Dan Geiger: Asymptotic Model Selection for Naive Bayesian Networks. Journal of Machine Learning Research 6: 1-35 (2005)
	2004
52		Gideon Greenspan, Dan Geiger: High density linkage disequilibrium mapping using models of haplotype block variation. ISMB/ECCB (Supplement of Bioinformatics) 2004: 137-144
51		Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman: Efficient approximations for learning phylogenetic HMM models from data. ISMB/ECCB (Supplement of Bioinformatics) 2004: 161-168
50		Ydo Wexler, Zohar Yakhini, Yechezkel Kashi, Dan Geiger: Finding approximate tandem repeats in genomic sequences. RECOMB 2004: 223-232
49		Maáyan Fishelson, Dan Geiger: Optimizing Exact Genetic Linkage Computations. Journal of Computational Biology 11(2/3): 263-275 (2004)
48		Gideon Greenspan, Dan Geiger: Model-Based Inference of Haplotype Block Variation. Journal of Computational Biology 11(2/3): 493-504 (2004)
	2003
47		Maáyan Fishelson, Dan Geiger: Optimizing exact genetic linkage computations. RECOMB 2003: 114-121
46		Gideon Greenspan, Dan Geiger: Model-based inference of haplotype block variation. RECOMB 2003: 131-137
45		Ari Frank, Dan Geiger, Zohar Yakhini: A Distance-Based Branch and Bound Feature Selection Algorithm. UAI 2003: 241-248
44		Dmitry Rusakov, Dan Geiger: Automated Analytic Asymptotic Evaluation of the Marginal Likelihood for Latent Models. UAI 2003: 501-508
	2002
43		Maáyan Fishelson, Dan Geiger: Exact genetic linkage computations for general pedigrees. ISMB 2002: 189-198
42		Dan Geiger, Christopher Meek, Bernd Sturmfels: Factorization of Discrete Probability Distributions. UAI 2002: 162-169
41		Dmitry Rusakov, Dan Geiger: Asymptotic Model Selection for Naive Bayesian Networks. UAI 2002: 438-445
	2001
40		Ann Becker, Dan Geiger: A sufficiently fast algorithm for finding close to optimal clique trees. Artif. Intell. 125(1-2): 3-17 (2001)
	2000
39		Ann Becker, Dan Geiger, Christopher Meek: Perfect Tree-like Markovian Distributions. UAI 2000: 19-23
38		Nir Friedman, Dan Geiger, Noam Lotner: Likelihood Computations Using Value Abstraction. UAI 2000: 192-200
37		Ann Becker, Reuven Bar-Yehuda, Dan Geiger: Randomized Algorithms for the Loop Cutset Problem. J. Artif. Intell. Res. (JAIR) 12: 219-234 (2000)
	1999
36		Kristin P. Bennett, Usama M. Fayyad, Dan Geiger: Density-Based Indexing for Approximate Nearest-Neighbor Queries. KDD 1999: 233-243
35		Dan Geiger, James Cussens: Parameter Priors for Directed Acyclic Graphical Models and the Characteriration of Several Probability Distributions. UAI 1999: 216-225
34		Dan Geiger, Christopher Meek: Quantifier Elimination for Statistical Problems. UAI 1999: 226-235
33		Ann Becker, Reuven Bar-Yehuda, Dan Geiger: Random Algorithms for the Loop Cutset Problem. UAI 1999: 49-56
32		Laxmi Parida, Dan Geiger: Mass Estimation of DNA Molecules and Extraction of Ordered Restriction Maps in Optical Mapping Imagery. Algorithmica 25(2-3): 295-310 (1999)
	1998
31		Dan Geiger: Graphical Models and Exponential Families. UAI 1998: 156-165
30		Dan Geiger, David Heckerman: Probabilistic relevance relations. IEEE Transactions on Systems, Man, and Cybernetics, Part A 28(1): 17-25 (1998)
29		Reuven Bar-Yehuda, Dan Geiger, Joseph Naor, Ron M. Roth: Approximation Algorithms for the Feedback Vertex Set Problem with Applications to Constraint Satisfaction and Bayesian Inference. SIAM J. Comput. 27(4): 942-959 (1998)
	1997
28		Dan Geiger, Prakash P. Shenoy: UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, August 1-3, 1997, Brown University, Providence, Rhode Island, USA Morgan Kaufmann 1997
27		Kirill Shoikhet, Dan Geiger: A Practical Algorithm for Finding Optimal Triangulations. AAAI/IAAI 1997: 185-190
26		Nir Friedman, Dan Geiger, Moisés Goldszmidt: Bayesian Network Classifiers. Machine Learning 29(2-3): 131-163 (1997)
	1996
25		Dan Geiger, David Heckerman, Christopher Meek: Asymptotic Model Selection for Directed Networks with Hidden Variables. UAI 1996: 283-290
24		Ann Becker, Dan Geiger: A sufficiently fast algorithm for finding close to optimal junction trees. UAI 1996: 81-89
23		Dan Geiger, David Heckerman: Knowledge Representation and Inference in Similarity Networks and Bayesian Multinets. Artif. Intell. 82(1-2): 45-74 (1996)
22		Ann Becker, Dan Geiger: Optimization of Pearl's Method of Conditioning and Greedy-Like Approximation Algorithms for the Vertex Feedback Set Problem. Artif. Intell. 83(1): 167-188 (1996)
	1995
21		Dan Geiger, David Heckerman: A Characterization of the Dirichlet Distribution with Application to Learning Bayesian Networks. UAI 1995: 196-207
20		David Heckerman, Dan Geiger: Learning Bayesian Networks: A Unification for Discrete and Gaussian Domains. UAI 1995: 274-284
19		David Maxwell Chickering, Dan Geiger, David Heckerman: On Finding a Cycle Basis with a Shortest Maximal Cycle. Inf. Process. Lett. 54(1): 55-58 (1995)
18		David Heckerman, Dan Geiger, David Maxwell Chickering: Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. Machine Learning 20(3): 197-243 (1995)
17		Amir Eliaz, Dan Geiger: Word-level recognition of small sets of hand-written words. Pattern Recognition Letters 16(10): 999-1009 (1995)
	1994
16		David Heckerman, Dan Geiger, David Maxwell Chickering: Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. KDD Workshop 1994: 85-96
15		Reuven Bar-Yehuda, Dan Geiger, Joseph Naor, Ron M. Roth: Approximation Algorithms for the Vertex Feedback Set Problem with Applications to Constraint Satisfaction and Bayesian Inference. SODA 1994: 344-354
14		Dan Geiger, David Heckerman: Learning Gaussian Networks. UAI 1994: 235-243
13		Dan Geiger, Azaria Paz, Judea Pearl: On Testing Whether an Embedded Bayesian Network Represents a Probability Model. UAI 1994: 244-252
12		David Heckerman, Dan Geiger, David Maxwell Chickering: Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. UAI 1994: 293-301
11		Ann Becker, Dan Geiger: Approximation Algorithms for the Loop Cutset Problem. UAI 1994: 60-68
	1993
10		Dan Geiger, David Heckerman: Inference Algorithms for Similarity Networks. UAI 1993: 326-334
	1992
9		Dan Geiger: An Entropy-based Learning Algorithm of Bayesian Conditional Trees. UAI 1992: 92-97
	1991
8		Dan Geiger, Jeffrey A. Barnett: Optimal Satisficing Tree Searches. AAAI 1991: 441-445
7		Dan Geiger, David Heckerman: Advances in Probabilistic Reasoning. UAI 1991: 118-126
6		Dan Geiger, Azaria Paz, Judea Pearl: Axioms and Algorithms for Inferences Involving Probabilistic Independence Inf. Comput. 91(1): 128-141 (1991)
	1990
5		Dan Geiger, Azaria Paz, Judea Pearl: Learning Causal Trees from Dependence Information. AAAI 1990: 770-776
4		Dan Geiger, David Heckerman: separable and transitive graphoids. UAI 1990: 65-76
3		Dan Geiger, Judea Pearl: Logical and algorithmic properties of independence and their application to Bayesian networks. Ann. Math. Artif. Intell. 2: 165-178 (1990)
	1989
2		Dan Geiger, Thomas Verma, Judea Pearl: d-Separation: From Theorems to Algorithms. UAI 1989: 139-148
	1988
1		Dan Geiger, Judea Pearl: On the logic of causal models. UAI 1988: 3-14

Coauthor Index

1	Reuven Bar-Yehuda	[15] [29] [33] [37]
2	Jeffrey A. Barnett	[8]
3	Ann Becker	[11] [22] [24] [33] [37] [39] [40]
4	Kristin P. Bennett	[36]
5	Sivan Bercovici	[61]
6	David Maxwell Chickering (Max Chickering)	[12] [16] [18] [19]
7	James Cussens	[35]
8	Amir Eliaz	[17]
9	Usama M. Fayyad	[36]
10	Maáyan Fishelson	[43] [47] [49]
11	Ari Frank	[45]
12	Nir Friedman	[26] [38]
13	Moisés Goldszmidt	[26]
14	Gideon Greenspan	[46] [48] [52]
15	David Haussler	[51]
16	David Heckerman	[4] [7] [10] [12] [14] [16] [18] [19] [20] [21] [23] [25] [30] [51]
17	Nebojsa Jojic	[51]
18	Vladimir Jojic	[51]
19	Yechezkel Kashi	[50] [54]
20	Miron Livny	[56]
21	Noam Lotner	[38]
22	Christopher Meek	[25] [34] [39] [42] [51] [55] [63]
23	Joseph Naor (Seffi Naor)	[15] [29]
24	John D. Owens	[62]
25	Laxmi Parida	[32]
26	Anjul Patney	[62]
27	Azaria Paz	[5] [6] [13]
28	Judea Pearl	[1] [2] [3] [5] [6] [13]
29	Ron M. Roth	[15] [29]
30	Dmitry Rusakov	[41] [44] [53]
31	Assaf Schuster	[56] [57] [62]
32	Prakash P. Shenoy	[28]
33	Liran Shlush	[61]
34	Kirill Shoikhet	[27]
35	Adam C. Siepel	[51]
36	Mark Silberstein	[56] [57] [62]
37	Karl Skorecki	[61]
38	Bernd Sturmfels	[42]
39	Alan Templeton	[61]
40	Thomas Verma	[2]
41	Ydo Wexler	[50] [54] [55] [59] [60] [63]
42	Zohar Yakhini	[45] [50] [54]
43	Ron Zohar	[58]

Colors in the list of coauthors