David Poole
David Poole
Professor of Computer Science, University of British Columbia
Verified email at cs.ubc.ca - Homepage
Title
Cited by
Cited by
Year
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
11352004
Computational Intelligence
D Poole, A Mackworth, R Goebel
11051998
A logical framework for default reasoning
D Poole
Artificial intelligence 36 (1), 27-47, 1988
10921988
Artificial Intelligence: foundations of computational agents
DL Poole, AK Mackworth
Cambridge University Press, 2010
7642010
Probabilistic Horn abduction and Bayesian networks
D Poole
Artificial intelligence 64 (1), 81-129, 1993
7001993
Exploiting causal independence in Bayesian network inference
NL Zhang, D Poole
Journal of Artificial Intelligence Research 5, 301-328, 1996
5701996
First-order probabilistic inference
D Poole
IJCAI 3, 985-991, 2003
5132003
Theorist: A logical reasoning system for defaults and diagnosis
D Poole, R Goebel, R Aleliunas
The Knowledge Frontier, 331-352, 1987
4811987
A simple approach to Bayesian network computations
NL Zhang, D Poole
Proc. of the Tenth Canadian Conference on Artificial Intelligence, 1994
4481994
The independent choice logic for modelling multiple agents under uncertainty
D Poole
Artificial intelligence 94 (1-2), 7-56, 1997
4311997
Reasoning With Conditional Ceteris Paribus Preference Statements.
C Boutilier, RI Brafman, HH Hoos, D Poole
UAI 99, 71-80, 1999
3451999
On the Comparison of Theories: Preferring the Most Specific Explanation.
D Poole
IJCAI 85, 144-147, 1985
3331985
Explanation and prediction: an architecture for default and abductive reasoning
D Poole
Computational Intelligence 5 (2), 97-110, 1989
3191989
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
2881996
Normality and Faults in Logic-Based Diagnosis.
D Poole
IJCAI 89, 1304-1310, 1989
2721989
Preference‐Based Constrained Optimization with CP‐Nets
C Boutilier, RI Brafman, C Domshlak, HH Hoos, D Poole
Computational Intelligence 20 (2), 137-157, 2004
2312004
Simple embedding for link prediction in knowledge graphs
SM Kazemi, D Poole
Advances in neural information processing systems, 4284-4295, 2018
1772018
A propositional logic-based method for verification of feature models
W Zhang, H Zhao, H Mei
International Conference on Formal Engineering Methods, 115-130, 2004
1762004
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
1682016
Multiply sectioned Bayesian networks and junction forests for large knowledge‐based systems
Y Xiang, D Poole, MP Beddoes
Computational Intelligence 9 (2), 171-220, 1993
1681993
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