Finding MAPs for belief networks is NP-hard SE Shimony Artificial intelligence 68 (2), 399-410, 1994 | 474 | 1994 |
Search-based optimal solvers for the multi-agent pathfinding problem: Summary and challenges A Felner, R Stern, S Shimony, E Boyarski, M Goldenberg, G Sharon, ... Proceedings of the International Symposium on Combinatorial Search 8 (1), 29-37, 2017 | 256 | 2017 |
Computing frequent graph patterns from semistructured data N Vanetik, E Gudes, SE Shimony 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 458-465, 2002 | 243 | 2002 |
On graphical modeling of preference and importance RI Brafman, C Domshlak, SE Shimony Journal of Artificial Intelligence Research 25, 389-424, 2006 | 237 | 2006 |
Probabilistic semantics for cost based abduction E Charniak, SE Shimony Brown University, Department of Computer Science, 1990 | 182 | 1990 |
Cost-based abduction and MAP explanation E Charniak, SE Shimony Artificial Intelligence 66 (2), 345-374, 1994 | 161 | 1994 |
Forward Search Value Iteration for POMDPs. G Shani, RI Brafman, SE Shimony IJCAI, 2619-2624, 2007 | 146 | 2007 |
Selecting computations: Theory and applications N Hay, S Russell, D Tolpin, SE Shimony arXiv preprint arXiv:1408.2048, 2014 | 100 | 2014 |
Model-based online learning of POMDPs G Shani, RI Brafman, SE Shimony Machine Learning: ECML 2005: 16th European Conference on Machine Learning …, 2005 | 96 | 2005 |
A new algorithm for finding MAP assignments to belief networks SE Shimony, E Charniak arXiv preprint arXiv:1304.1093, 2013 | 92 | 2013 |
Discovering frequent graph patterns using disjoint paths E Gudes, SE Shimony, N Vanetik IEEE Transactions on Knowledge and Data Engineering 18 (11), 1441-1456, 2006 | 86 | 2006 |
Markov network based ontology matching S Albagli, R Ben-Eliyahu-Zohary, SE Shimony Journal of Computer and System Sciences 78 (1), 105-118, 2012 | 82 | 2012 |
MCTS based on simple regret D Tolpin, S Shimony Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 570-576, 2012 | 63 | 2012 |
Explanation, irrelevance and statistical independence SE Shimony Proceedings of the ninth National conference on Artificial intelligence …, 1991 | 61 | 1991 |
The role of relevance in explanation I: Irrelevance as statistical independence SE Shimony International Journal of Approximate Reasoning 8 (4), 281-324, 1993 | 59 | 1993 |
Canadian Traveler Problem with Remote Sensing. Z Bnaya, A Felner, SE Shimony IJCAI, 437-442, 2009 | 58 | 2009 |
Support measures for graph data* N Vanetik, SE Shimony, E Gudes Data Mining and Knowledge Discovery 13 (2), 243-260, 2006 | 58 | 2006 |
Efficient ADD Operations for Point-Based Algorithms. G Shani, P Poupart, RI Brafman, SE Shimony ICAPS, 330-337, 2008 | 51 | 2008 |
Complexity of Canadian traveler problem variants D Fried, SE Shimony, A Benbassat, C Wenner Theoretical Computer Science 487, 1-16, 2013 | 41 | 2013 |
Reasoning with bkbs–algorithms and complexity T Rosen, SE Shimony, E Santos Annals of Mathematics and Artificial Intelligence 40, 403-425, 2004 | 40 | 2004 |