Eyal Amir
Eyal Amir
Professor of Computer Science, University of Illinois at Urbana-Champaign
Zweryfikowany adres z illinois.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
18062007
Bayesian Inverse Reinforcement Learning.
D Ramachandran, E Amir
IJCAI 7, 2586-2591, 2007
6472007
Lifted first-order probabilistic inference
R Braz, E Amir, D Roth
Proceedings of the Nineteenth International Joint Conference on Artificial …, 2005
391*2005
Efficient approximation for triangulation of minimum treewidth
E Amir
arXiv preprint arXiv:1301.2253, 2013
1792013
Partition-based logical reasoning for first-order and propositional theories
E Amir, S McIlraith
Artificial intelligence 162 (1-2), 49-88, 2005
1642005
Real-time Bayesian anomaly detection for environmental sensor data
DJ Hill, BS Minsker, E Amir
Proceedings of the Congress-International Association for Hydraulic Research …, 2007
1422007
Learning partially observable deterministic action models
E Amir, A Chang
Journal of Artificial Intelligence Research 33, 349-402, 2008
1372008
Factored planning
E Amir, B Engelhardt
IJCAI 3, 929-935, 2003
1232003
Partition-based logical reasoning
E Amir, S McIlraith
KR, 389-400, 2000
972000
Approximation algorithms for treewidth
E Amir
Algorithmica 56 (4), 448-479, 2010
802010
Real‐time Bayesian anomaly detection in streaming environmental data
DJ Hill, BS Minsker, E Amir
Water Resources Research 45 (4), 2009
742009
Practical partition-based theorem proving for large knowledge bases
B MacCartney, S McIlraith, E Amir, T Uribe
Proc. of the International Joint Conference on Artificial Intelligence (IJCAI), 2003
742003
Towards a theory of ai completeness.
D Shahaf, E Amir
AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning, 150-155, 2007
702007
MPE and partial inversion in lifted probabilistic variable elimination
R de Salvo Braz, E Amir, D Roth
AAAI 6, 1123-1130, 2006
652006
Lifted inference for relational continuous models
J Choi, DJ Hill, E Amir
Workshops at the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
642010
Logical filtering
E Amir, S Russell
IJCAI 3, 75-82, 2003
582003
Theorem proving with structured theories
S McIlraith, E Amir
IJCAI 1, 624-634, 2001
562001
Combining planning and motion planning
J Choi, E Amir
2009 IEEE International Conference on Robotics and Automation, 238-244, 2009
542009
Opponent Modeling in Scrabble.
M Richards, E Amir
IJCAI, 1482-1487, 2007
522007
Learning partially observable action schemas
D Shahaf, E Amir
Proceedings of the National Conference on Artificial Intelligence 21 (1), 913, 2006
482006
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