David Poole - Google Scholar Citations

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Alan MackworthProfessor Emeritus of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Nevin L. ZhangThe Hong Kong University of Science and TechnologyVerified email at cse.ust.hk
Craig BoutilierPrincipal Scientist, GoogleVerified email at google.com
Ronen BrafmanDepartment of Computer Science, Ben-Gurion UniversityVerified email at cs.bgu.ac.il
Seyed Mehran KazemiMachine Learning Researcher at Borealis AIVerified email at cs.ubc.ca
Holger HoosLeiden University, The Netherlands & University of British Columbia, CanadaVerified email at liacs.nl
Randy GoebelProfessor of Computing Science, University of AlbertaVerified email at ualberta.ca
Giuseppe CareniniProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Nando de FreitasCIFAR & DeepMindVerified email at google.com
Yang XiangUniversity of GuelphVerified email at uoguelph.ca
Carmel DomshlakProfessor, TechnionVerified email at ie.technion.ac.il
Kristian KerstingProfessor of Artificial Intelligence and Machine Learning, TU DarmstadtVerified email at cs.tu-darmstadt.de
Sriraam NatarajanUniversity of Texas at DallasVerified email at utdallas.edu
Andrew CsingerVerified email at interspect.com
Eric NeufeldProfessor of Computer Science, University of SaskatchewanVerified email at usask.ca
Luc De Raedtprofessor, KU LeuvenVerified email at cs.kuleuven.be
Katsumi InoueNational Institute of Informatics / SOKENDAI / Tokyo Institute of TechnologyVerified email at nii.ac.jp
Cristina ConatiProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Bahare FatemiPhD student at University of British ColumbiaVerified email at cs.ubc.ca
Christopher GeibPrincipal Researcher, SIFT LLCVerified email at planrec.org

David Poole

Professor of Computer Science, University of British Columbia

Verified email at cs.ubc.ca - Homepage

Artificial Intelligence


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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	1098	2004
A logical framework for default reasoning D Poole Artificial intelligence 36 (1), 27-47, 1988	1067	1988
Computational intelligence DI Poole, RG Goebel, AK Mackworth Oxford University Press, 1998	958	1998
Probabilistic Horn abduction and Bayesian networks D Poole Artificial intelligence 64 (1), 81-129, 1993	682	1993
Artificial Intelligence: foundations of computational agents DL Poole, AK Mackworth Cambridge University Press, 2010	636	2010
Exploiting causal independence in Bayesian network inference NL Zhang, D Poole Journal of Artificial Intelligence Research 5, 301-328, 1996	549	1996
First-order probabilistic inference D Poole IJCAI 3, 985-991, 2003	482	2003
Theorist: A logical reasoning system for defaults and diagnosis D Poole, R Goebel, R Aleliunas The Knowledge Frontier, 331-352, 1987	468	1987
The independent choice logic for modelling multiple agents under uncertainty D Poole Artificial intelligence 94 (1-2), 7-56, 1997	415	1997
A simple approach to Bayesian network computations NL Zhang, D Poole Proceedings of the Biennial Conference-Canadian Society for Computational …, 1994	414	1994
Reasoning With Conditional Ceteris Paribus Preference Statements. C Boutilier, RI Brafman, HH Hoos, D Poole UAI 99, 71-80, 1999	337	1999
On the Comparison of Theories: Preferring the Most Specific Explanation. D Poole IJCAI 85, 144-147, 1985	329	1985
Explanation and prediction: an architecture for default and abductive reasoning D Poole Computational Intelligence 5 (2), 97-110, 1989	312	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	270	1996
Normality and Faults in Logic-Based Diagnosis. D Poole IJCAI 89, 1304-1310, 1989	270	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	220	2004
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	167	1993
Logic programming, abduction and probability D Poole New Generation Computing 11 (3-4), 377, 1993	159	1993
A methodology for using a default and abductive reasoning system D Poole International Journal of Intelligent Systems 5 (5), 521-548, 1990	140	1990
Exploiting contextual independence in probabilistic inference D Poole, NL Zhang Journal of Artificial Intelligence Research 18, 263-313, 2003	137	2003

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