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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
Computational intelligence
DI Poole, RG Goebel, AK Mackworth
Oxford University Press, 1998
16901998
Artificial Intelligence: foundations of computational agents
DL Poole, AK Mackworth
Cambridge University Press, 2010
13622010
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
12442004
A logical framework for default reasoning
D Poole
Artificial intelligence 36 (1), 27-47, 1988
11461988
Simple embedding for link prediction in knowledge graphs
SM Kazemi, D Poole
Advances in neural information processing systems 31, 2018
8112018
Probabilistic Horn abduction and Bayesian networks
D Poole
Artificial intelligence 64 (1), 81-129, 1993
7721993
Exploiting causal independence in Bayesian network inference
NL Zhang, D Poole
Journal of Artificial Intelligence Research 5, 301-328, 1996
6451996
First-order probabilistic inference
D Poole
IJCAI 3, 985-991, 2003
5722003
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
5191987
A simple approach to Bayesian network computations
NL Zhang, D Poole
Proc. of the Tenth Canadian Conference on Artificial Intelligence, 1994
5131994
The independent choice logic for modelling multiple agents under uncertainty
D Poole
Artificial intelligence 94 (1-2), 7-56, 1997
4761997
Reasoning With Conditional Ceteris Paribus Preference Statements.
C Boutilier, RI Brafman, HH Hoos, D Poole
UAI 99, 71-80, 1999
3691999
On the Comparison of Theories: Preferring the Most Specific Explanation.
D Poole
IJCAI 85, 144-147, 1985
3531985
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
3422016
Explanation and prediction: an architecture for default and abductive reasoning
D Poole
Computational Intelligence 5 (2), 97-110, 1989
3401989
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
3201996
Normality and Faults in Logic-Based Diagnosis.
D Poole
IJCAI 89, 1304-1310, 1989
2921989
Preference‐Based Constrained Optimization with CP‐Nets
C Boutilier, RI Brafman, C Domshlak, HH Hoos, D Poole
Computational Intelligence 20 (2), 137-157, 2004
2572004
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
1922012
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
1851993
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