Computational intelligence DI Poole, RG Goebel, AK Mackworth Oxford University Press, 1998 | 1746 | 1998 |
Artificial Intelligence: foundations of computational agents DL Poole, AK Mackworth Cambridge University Press, 2010 | 1479 | 2010 |
CP-nets: A tool for representing and reasoning withconditional ceteris paribus preference statements C Boutilier, RI Brafman, C Domshlak, HH Hoos, D Poole Journal of artificial intelligence research 21, 135-191, 2004 | 1251 | 2004 |
A logical framework for default reasoning D Poole Artificial intelligence 36 (1), 27-47, 1988 | 1138 | 1988 |
Simple embedding for link prediction in knowledge graphs SM Kazemi, D Poole Advances in neural information processing systems 31, 2018 | 884 | 2018 |
Probabilistic Horn abduction and Bayesian networks D Poole Artificial intelligence 64 (1), 81-129, 1993 | 766 | 1993 |
Exploiting causal independence in Bayesian network inference NL Zhang, D Poole Journal of Artificial Intelligence Research 5, 301-328, 1996 | 652 | 1996 |
First-order probabilistic inference D Poole IJCAI 3, 985-991, 2003 | 589 | 2003 |
A simple approach to Bayesian network computations NL Zhang, D Poole Proc. of the Tenth Canadian Conference on Artificial Intelligence, 1994 | 522 | 1994 |
Theorist: A logical reasoning system for defaults and diagnosis D Poole, R Goebel, R Aleliunas The knowledge frontier: Essays in the representation of knowledge, 331-352, 1987 | 519 | 1987 |
The independent choice logic for modelling multiple agents under uncertainty D Poole Artificial intelligence 94 (1-2), 7-56, 1997 | 476 | 1997 |
Statistical relational artificial intelligence: Logic, probability, and computation LD Raedt, K Kersting, S Natarajan, D Poole Synthesis lectures on artificial intelligence and machine learning 10 (2), 1-189, 2016 | 370 | 2016 |
Reasoning With Conditional Ceteris Paribus Preference Statements. C Boutilier, RI Brafman, HH Hoos, D Poole UAI 99, 71-80, 1999 | 368 | 1999 |
On the Comparison of Theories: Preferring the Most Specific Explanation. D Poole IJCAI 85, 144-147, 1985 | 350 | 1985 |
Explanation and prediction: an architecture for default and abductive reasoning D Poole Computational Intelligence 5 (2), 97-110, 1989 | 338 | 1989 |
Computing optimal policies for partially observable decision processes using compact representations C Boutilier, D Poole Proceedings of the national conference on artificial intelligence, 1168-1175, 1996 | 322 | 1996 |
Normality and Faults in Logic-Based Diagnosis. D Poole IJCAI 89, 1304-1310, 1989 | 291 | 1989 |
Preference‐Based Constrained Optimization with CP‐Nets C Boutilier, RI Brafman, C Domshlak, HH Hoos, D Poole Computational Intelligence 20 (2), 137-157, 2004 | 257 | 2004 |
ILP turns 20: biography and future challenges S Muggleton, L De Raedt, D Poole, I Bratko, P Flach, K Inoue, ... Machine learning 86, 3-23, 2012 | 200 | 2012 |
Logic programming, abduction and probability: —A top-down anytime algorithm for estimating prior and posterior probabilities— D Poole New Generation Computing 11, 377-400, 1993 | 187 | 1993 |