Year |
Citation |
Score |
2019 |
Marinescu R, Kishimoto A, Botea A, Dechter R, Ihler A. Anytime Recursive Best-First Search for Bounding Marginal MAP Proceedings of the Aaai Conference On Artificial Intelligence. 33: 7924-7932. DOI: 10.1609/aaai.v33i01.33017924 |
0.624 |
|
2019 |
Lou Q, Dechter R, Ihler A. Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms Proceedings of the Aaai Conference On Artificial Intelligence. 33: 7900-7907. DOI: 10.1609/AAAI.V33I01.33017900 |
0.356 |
|
2018 |
Marinescu R, Lee J, Dechter R, Ihler A. AND/OR Search for Marginal MAP Journal of Artificial Intelligence Research. 63: 875-921. DOI: 10.1613/Jair.1.11265 |
0.662 |
|
2018 |
Lam W, Kask K, Larrosa J, Dechter R. Subproblem ordering heuristics for AND/OR best-first search Journal of Computer and System Sciences. 94: 41-62. DOI: 10.1016/J.Jcss.2017.10.003 |
0.673 |
|
2017 |
Lam W, Kask K, Larrosa J, Dechter R. Residual-Guided Look-Ahead in AND/OR Search for Graphical Models Journal of Artificial Intelligence Research. 60: 287-346. DOI: 10.1613/Jair.5475 |
0.657 |
|
2017 |
Otten L, Dechter R. AND/OR Branch-and-Bound on a Computational Grid Journal of Artificial Intelligence Research. 59: 351-435. DOI: 10.1613/Jair.5456 |
0.772 |
|
2017 |
Fioretto F, Pontelli E, Yeoh W, Dechter R. Accelerating exact and approximate inference for (distributed) discrete optimization with GPUs Constraints. 23: 1-43. DOI: 10.1007/S10601-017-9274-1 |
0.452 |
|
2016 |
Flerova N, Marinescu R, Dechter R. Searching for the M Best Solutions in Graphical Models Journal of Artificial Intelligence Research. 55: 889-952. DOI: 10.1613/Jair.4985 |
0.655 |
|
2016 |
Flerova N, Marinescu R, Dechter R. Weighted heuristic anytime search: new schemes for optimization over graphical models Annals of Mathematics and Artificial Intelligence. 1-52. DOI: 10.1007/S10472-015-9495-1 |
0.663 |
|
2013 |
Silberstein M, Weissbrod O, Otten L, Tzemach A, Anisenia A, Shtark O, Tuberg D, Galfrin E, Gannon I, Shalata A, Borochowitz ZU, Dechter R, Thompson E, Geiger D. A system for exact and approximate genetic linkage analysis of SNP data in large pedigrees. Bioinformatics (Oxford, England). 29: 197-205. PMID 23162081 DOI: 10.1093/Bioinformatics/Bts658 |
0.721 |
|
2012 |
Gogate V, Dechter R. Importance sampling-based estimation over AND/OR search spaces for graphical models Artificial Intelligence. 184: 38-77. DOI: 10.1016/J.Artint.2012.03.001 |
0.781 |
|
2011 |
Otten L, Dechter R. Finding most likely haplotypes in general pedigrees through parallel search with dynamic load balancing. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 26-37. PMID 21121030 |
0.777 |
|
2011 |
Gogate V, Dechter R. Sampling-based lower bounds for counting queries Intelligenza Artificiale. 5: 171-188. DOI: 10.3233/Ia-2011-0026 |
0.808 |
|
2011 |
Gogate V, Dechter R. SampleSearch: Importance sampling in presence of determinism Artificial Intelligence. 175: 694-729. DOI: 10.1016/J.Artint.2010.10.009 |
0.801 |
|
2010 |
Marinescu R, Dechter R. Evaluating the impact of AND/OR search on 0-1 integer linear programming. Constraints : An International Journal. 15: 29-63. PMID 21052484 DOI: 10.1007/S10601-009-9070-7 |
0.681 |
|
2010 |
Mateescu R, Kask K, Gogate V, Dechter R. Join-Graph Propagation Algorithms. The Journal of Artificial Intelligence Research. 37: 279-328. PMID 20740057 DOI: 10.1613/Jair.2842 |
0.746 |
|
2010 |
Bidyuk B, Dechter R, Rollon E. Active Tuples-based Scheme for Bounding Posterior Beliefs Journal of Artificial Intelligence Research. 39: 335-371. DOI: 10.1613/Jair.2945 |
0.428 |
|
2009 |
Marinescu R, Dechter R. Memory intensive AND/OR search for combinatorial optimization in graphical models Artificial Intelligence. 173: 1492-1524. DOI: 10.1016/J.Artint.2009.07.004 |
0.695 |
|
2009 |
Marinescu R, Dechter R. AND/OR Branch-and-Bound search for combinatorial optimization in graphical models Artificial Intelligence. 173: 1457-1491. DOI: 10.1016/J.Artint.2009.07.003 |
0.698 |
|
2008 |
Mateescu R, Dechter R. Mixed deterministic and probabilistic networks. Annals of Mathematics and Artificial Intelligence. 54: 3-51. PMID 20981243 DOI: 10.1007/S10472-009-9132-Y |
0.793 |
|
2008 |
Mateescu R, Dechter R, Marinescu R. AND/OR Multi-Valued Decision Diagrams (AOMDDs) for Graphical Models Journal of Artificial Intelligence Research. 33: 465-519. DOI: 10.1613/Jair.2605 |
0.774 |
|
2007 |
Bidyuk B, Dechter R. Cutset Sampling for Bayesian Networks Journal of Artificial Intelligence Research. 28: 1-48. DOI: 10.1613/Jair.2149 |
0.769 |
|
2007 |
Dechter R, Mateescu R. AND/OR search spaces for graphical models Artificial Intelligence. 171: 73-106. DOI: 10.1016/J.Artint.2006.11.003 |
0.797 |
|
2005 |
Kask K, Dechter R, Larrosa J, Dechter A. Unifying tree decompositions for reasoning in graphical models Artificial Intelligence. 166: 165-193. DOI: 10.1016/J.Artint.2005.04.004 |
0.675 |
|
2005 |
Marinescu R, Dechter R. AND/OR branch-and-bound for solving mixed integer linear programming problems Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3709: 857. DOI: 10.1007/11564751_95 |
0.662 |
|
2003 |
Dechter R, Rish I. Mini-buckets Journal of the Acm. 50: 107-153. DOI: 10.1145/636865.636866 |
0.517 |
|
2003 |
Larrosa J, Dechter R. Constraints. 8: 303-326. DOI: 10.1023/A:1025627211942 |
0.449 |
|
2003 |
Bidyuk B, Dechter R. Cycle-cutset sampling for Bayesian networks Lecture Notes in Computer Science. 297-312. DOI: 10.1007/3-540-44886-1_23 |
0.756 |
|
2002 |
Dechter R, Frost D. Backjump-based backtracking for constraint satisfaction problems Artificial Intelligence. 136: 147-188. DOI: 10.1016/S0004-3702(02)00120-0 |
0.427 |
|
2001 |
Zhang W, Dechter R, Korf RE. Heuristic search in artificial intelligence Artificial Intelligence. 129: 1-4. DOI: 10.1016/S0004-3702(01)00111-4 |
0.351 |
|
2001 |
Kask K, Dechter R. A general scheme for automatic generation of search heuristics from specification dependencies Artificial Intelligence. 129: 91-131. DOI: 10.1016/S0004-3702(01)00107-2 |
0.69 |
|
2001 |
Dechter R, El Fattah Y. Topological parameters for time-space tradeoff Artificial Intelligence. 125: 93-118. DOI: 10.1016/S0004-3702(00)00050-3 |
0.448 |
|
2000 |
Rish I, Dechter R. Journal of Automated Reasoning. 24: 225-275. DOI: 10.1023/A:1006303512524 |
0.496 |
|
1999 |
Frost D, Dechter R. Annals of Mathematics and Artificial Intelligence. 26: 149-170. DOI: 10.1023/A:1018906911996 |
0.416 |
|
1999 |
Dechter R. Bucket elimination: A unifying framework for reasoning Artificial Intelligence. 113: 41-85. DOI: 10.1016/S0004-3702(99)00059-4 |
0.469 |
|
1997 |
van Beek P, Dechter R. Constraint tightness and looseness versus local and global consistency Journal of the Acm (Jacm). 44: 549-566. DOI: 10.1145/263867.263499 |
0.358 |
|
1997 |
Dechter R. Constraints. 2: 51-55. DOI: 10.1023/A:1009796922698 |
0.341 |
|
1997 |
Schwalb E, Dechter R. Processing disjunctions in temporal constraint networks Artificial Intelligence. 93: 29-61. DOI: 10.1016/S0004-3702(97)00009-X |
0.455 |
|
1996 |
Dechter R. Bucket elimination Acm Computing Surveys (Csur). 28: 61. DOI: 10.1145/242224.242302 |
0.358 |
|
1996 |
Meiri I, Dechter R, Pearl J. Uncovering trees in constraint networks Artificial Intelligence. 86: 245-267. DOI: 10.1016/0004-3702(95)00102-6 |
0.615 |
|
1996 |
Ben-Eliyahu R, Dechter R. Default reasoning using classical logic Artificial Intelligence. 84: 113-150. DOI: 10.1016/0004-3702(95)00095-X |
0.353 |
|
1996 |
Dechter R, Dechter A. Structure-driven algorithms for truth maintenance Artificial Intelligence. 82: 1-20. DOI: 10.1016/0004-3702(94)00096-4 |
0.456 |
|
1995 |
Pinkas G, Dechter R. Improving Connectionist Energy Minimization Journal of Artificial Intelligence Research. 3: 223-248. DOI: 10.1613/Jair.130 |
0.478 |
|
1995 |
van Beek P, Dechter R. On the minimality and global consistency of row-convex constraint networks Journal of the Acm (Jacm). 42: 543-561. DOI: 10.1145/210346.210347 |
0.419 |
|
1994 |
Dechter R, Meiri I. Experimental evaluation of preprocessing algorithms for constraint satisfaction problems Artificial Intelligence. 68: 211-241. DOI: 10.1016/0004-3702(94)90068-X |
0.455 |
|
1994 |
Ben-Eliyahu R, Dechter R. Propositional semantics for disjunctive logic programs Annals of Mathematics and Artificial Intelligence. 12: 53-87. DOI: 10.1007/Bf01530761 |
0.314 |
|
1992 |
Dechter R. From local to global consistency Artificial Intelligence. 55: 87-107. DOI: 10.1016/0004-3702(92)90043-W |
0.387 |
|
1992 |
Dechter R, Pearl J. Structure identification in relational data Artificial Intelligence. 58: 237-270. DOI: 10.1016/0004-3702(92)90009-M |
0.563 |
|
1991 |
Dechter R, Meiri I, Pearl J. Temporal constraint networks Artificial Intelligence. 49: 61-95. DOI: 10.1016/0004-3702(91)90006-6 |
0.609 |
|
1990 |
Dechter R. Decomposing a relation into a tree of binary relations Journal of Computer and System Sciences. 41: 2-24. DOI: 10.1016/0022-0000(90)90031-F |
0.402 |
|
1990 |
Dechter R. Enhancement schemes for constraint processing: Backjumping, learning, and cutset decomposition Artificial Intelligence. 41: 273-312. DOI: 10.1016/0004-3702(90)90046-3 |
0.41 |
|
1989 |
Dechter A, Dechter R. On the Greedy Solution of Ordering Problems Orsa Journal On Computing. 1: 181-189. DOI: 10.1287/Ijoc.1.3.181 |
0.374 |
|
1989 |
Dechter R, Pearl J. Tree clustering for constraint networks Artificial Intelligence. 38: 353-366. DOI: 10.1016/0004-3702(89)90037-4 |
0.58 |
|
1987 |
Dechter R, Pearl J. Network-based heuristics for constraint-satisfaction problems Artificial Intelligence. 34: 1-38. DOI: 10.1016/0004-3702(87)90002-6 |
0.618 |
|
1985 |
Dechter R, Pearl J. Generalized best-first search strategies and the optimality of A* Journal of the Acm (Jacm). 32: 505-536. DOI: 10.1145/3828.3830 |
0.587 |
|
1980 |
Huyn N, Dechter R, Pearl J. Probabilistic analysis of the complexity of A∗ Artificial Intelligence. 15: 241-254. DOI: 10.1016/0004-3702(80)90045-4 |
0.524 |
|
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