2009 |
85 | EE | Mark LaRosa,
David Poole,
Rudy Schusteritsch:
Designing and deploying usetube, google's global user experience observation and recording system.
CHI Extended Abstracts 2009: 2971-2986 |
2008 |
84 | EE | David Poole:
The Independent Choice Logic and Beyond.
Probabilistic Inductive Logic Programming 2008: 222-243 |
83 | EE | David Poole,
Clinton Smyth,
Rita Sharma:
Semantic Science: Ontologies, Data and Probabilistic Theories.
URSW (LNCS Vol.) 2008: 26-40 |
82 | EE | Saleema Amershi,
Giuseppe Carenini,
Cristina Conati,
Alan K. Mackworth,
David Poole:
Pedagogy and usability in interactive algorithm visualizations: Designing and evaluating CIspace.
Interacting with Computers 20(1): 64-96 (2008) |
2007 |
81 | | David Poole:
Logical Generative Models for Probabilistic Reasoning about Existence, Roles and Identity.
AAAI 2007: 1271-1277 |
80 | EE | Rita Sharma,
David Poole,
Clinton Smyth:
A System for Ontologically-Grounded Probabilistic Matching.
BMA 2007 |
79 | EE | Mark Crowley,
Brent Boerlage,
David Poole:
Adding Local Constraints to Bayesian Networks.
Canadian Conference on AI 2007: 344-355 |
78 | EE | Amy R. Reibman,
David Poole:
Characterizing packet-loss impairments in compressed video.
ICIP (5) 2007: 77-80 |
2005 |
77 | EE | Rita Sharma,
David Poole:
Probability and Equality: A Probabilistic Model of Identity Uncertainty.
Canadian Conference on AI 2005: 227-231 |
76 | EE | David Poole,
Clinton Smyth:
Type Uncertainty in Ontologically-Grounded Qualitative Probabilistic Matching.
ECSQARU 2005: 763-774 |
75 | EE | Rita Sharma,
David Poole:
Probabilistic Reasoning with Hierarchically Structured Variables.
IJCAI 2005: 1391-1397 |
74 | EE | Saleema Amershi,
N. Arksey,
Giuseppe Carenini,
Cristina Conati,
Alan K. Mackworth,
Heather Maclaren,
David Poole:
Designing CIspace: pedagogy and usability in a learning environment for AI.
ITiCSE 2005: 178-182 |
73 | EE | Peter Carbonetto,
Jacek Kisynski,
Nando de Freitas,
David Poole:
Nonparametric Bayesian Logic.
UAI 2005: 85-93 |
2004 |
72 | EE | David Poole:
Estimating the size of the telephone universe: a Bayesian Mark-recapture approach.
KDD 2004: 659-664 |
71 | | Clinton Smyth,
David Poole:
Qualitative Probabilistic Matching with Hierarchical Descriptions.
KR 2004: 479-487 |
70 | EE | Craig Boutilier,
Ronen I. Brafman,
Carmel Domshlak,
Holger H. Hoos,
David Poole:
CP-nets: A Tool for Representing and Reasoning with Conditional Ceteris Paribus Preference Statements.
J. Artif. Intell. Res. (JAIR) 21: 135-191 (2004) |
2003 |
69 | | David Poole:
First-order probabilistic inference.
IJCAI 2003: 985-991 |
68 | EE | Giuseppe Carenini,
Jocelyin Smith,
David Poole:
Towards more conversational and collaborative recommender systems.
IUI 2003: 12-18 |
67 | | Rita Sharma,
David Poole:
Efficient Inference in Large Discrete Domains.
UAI 2003: 535-542 |
66 | EE | David Poole,
Nevin Lianwen Zhang:
Exploiting Contextual Independence In Probabilistic Inference.
J. Artif. Intell. Res. (JAIR) 18: 263-313 (2003) |
2002 |
65 | EE | Rubén Morales-Menéndez,
Nando de Freitas,
David Poole:
Real-Time Monitoring of Complex Industrial Processes with Particle Filters.
NIPS 2002: 1433-1440 |
2001 |
64 | EE | Rita Sharma,
David Poole:
Symmetric Collaborative Filtering Using the Noisy Sensor Model.
UAI 2001: 488-495 |
2000 |
63 | | Peter Gorniak,
David Poole:
Predicting Future User Actions by Observing Unmodified Applications.
AAAI/IAAI 2000: 217-222 |
62 | EE | David Poole:
Logic, Knowledge Representation, and Bayesian Decision Theory.
Computational Logic 2000: 70-86 |
61 | EE | Peter Gorniak,
David Poole:
Building a Stochastic Dynamic Model of Application Use.
UAI 2000: 230-237 |
60 | | David Poole:
Abducing through negation as failure: stable models within the independent choice logic.
J. Log. Program. 44(1-3): 5-35 (2000) |
1999 |
59 | | Nevin Lianwen Zhang,
David Poole:
On the Role of Context-Specific Independence in Probabilistic Inference.
IJCAI 1999: 1288-1293 |
58 | EE | Michael C. Horsch,
David Poole:
Estimating the Value of Computation in Flexible Information Refinement.
UAI 1999: 297-304 |
57 | EE | Craig Boutilier,
Ronen I. Brafman,
Holger H. Hoos,
David Poole:
Reasoning With Conditional Ceteris Paribus Preference Statements.
UAI 1999: 71-80 |
1998 |
56 | EE | Michael C. Horsch,
David Poole:
An Anytime Algorithm for Decision Making under Uncertainty.
UAI 1998: 246-255 |
55 | EE | David Poole:
Context-specific approximation in probabilistic inference.
UAI 1998: 447-454 |
54 | EE | David Poole:
Decision Theory, the Situation Calculus and Conditional Plans.
Electron. Trans. Artif. Intell. 2: 105-158 (1998) |
1997 |
53 | | David Poole:
Probabilistic Partial Evaluation: Exploiting Rule Structure in Probabilistic Inference.
IJCAI 1997: 1284-1291 |
52 | EE | David Poole:
The Independent Choice Logic for Modelling Multiple Agents Under Uncertainty.
Artif. Intell. 94(1-2): 7-56 (1997) |
1996 |
51 | | Craig Boutilier,
David Poole:
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations.
AAAI/IAAI, Vol. 2 1996: 1168-1175 |
50 | | Andrew Csinger,
David Poole:
Adapting Decision Theory for Multimedia Presentation Design: User Modelling for Intent-based Authoring.
ECAI 1996: 251-255 |
49 | EE | Michael C. Horsch,
David Poole:
Flexible Policy Construction by Information Refinement.
UAI 1996: 315-324 |
48 | EE | David Poole:
A Framework for Decision-Theoretic Planning I: Combining the Situation Calculus, Conditional Plans, Probability and Utility.
UAI 1996: 436-445 |
47 | EE | David Poole:
Probabilistic Conflicts in a Search Algorithm for Estimating Posterior Probabilities in Bayesian Networks.
Artif. Intell. 88(1-2): 69-100 (1996) |
46 | EE | Nevin Lianwen Zhang,
David Poole:
Exploiting Causal Independence in Bayesian Network Inference
CoRR cs.AI/9612101: (1996) |
45 | | Nevin Lianwen Zhang,
David Poole:
Exploiting Causal Independence in Bayesian Network Inference.
J. Artif. Intell. Res. (JAIR) 5: 301-328 (1996) |
1995 |
44 | | David Poole:
Logic Programming for Robot Control.
IJCAI 1995: 150-157 |
43 | EE | David Poole:
Exploiting the Rule Structure for Decision Making within the Independent Choice Logic.
UAI 1995: 454-463 |
42 | | Runping Qi,
David Poole:
A New Method for Influence Diagram Evaluation.
Computational Intelligence 11: 498-528 (1995) |
1994 |
41 | | Ramon López de Mántaras,
David Poole:
UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, July 29-31, 1994, Seattle, Washington, USA
Morgan Kaufmann 1994 |
40 | EE | Runping Qi,
Nevin Lianwen Zhang,
David Poole:
Solving Asymmetric Decision Problems with Influence Diagrams.
UAI 1994: 491-497 |
39 | EE | Nevin Lianwen Zhang,
David Poole:
Intercausal Independence and Heterogeneous Factorization.
UAI 1994: 606-614 |
38 | | David Poole:
Representing Diagnosis Knowledge.
Ann. Math. Artif. Intell. 11(1-4): 33-50 (1994) |
37 | | Andrew Csinger,
Kellogg S. Booth,
David Poole:
AI Meets Authoring: User Models for Intelligent Multimedia.
Artif. Intell. Rev. 8(5-6): 447-468 (1994) |
36 | EE | Nevin Lianwen Zhang,
Runping Qi,
David Poole:
A computational theory of decision networks.
Int. J. Approx. Reasoning 11(2): 83-158 (1994) |
1993 |
35 | | Andrew Csinger,
David Poole:
Hypothetically Speaking Default Reasoning and Discourse-Structure.
IJCAI 1993: 1179-1185 |
34 | | David Poole:
Average-Case Analysis of a Search Algorithm for Estimating Prior and Posterior Probabilities in Bayesian Networks with Extreme Probabilities.
IJCAI 1993: 606-612 |
33 | EE | David Poole:
The use of conflicts in searching Bayesian networks.
UAI 1993: 359-367 |
32 | EE | Nevin Lianwen Zhang,
Runping Qi,
David Poole:
Incremental computation of the value of perfect information in stepwise-decomposable influence diagrams.
UAI 1993: 400-410 |
31 | | David Poole:
Probabilistic Horn Abduction and Bayesian Networks.
Artif. Intell. 64(1): 81-129 (1993) |
30 | | Yang Xiang,
B. Pant,
A. Eisen,
Michael P. Beddoes,
David Poole:
Multiply sectioned Bayesian networks for neuromuscular diagnosis.
Artificial Intelligence in Medicine 5(4): 293-314 (1993) |
29 | | Yang Xiang,
David Poole,
Michael P. Beddoes:
Multiply Sectioned Bayesian Networks and Junction Forests for Large Knowledge-Based Systems.
Computational Intelligence 9: 171-220 (1993) |
28 | | David Poole:
Logic Programming, Abduction and Probability - A Top-Down Anytime Algorithm for Estimating Prior and Posterior Probabilities.
New Generation Comput. 11(3): 377-400 (1993) |
1992 |
27 | | David Poole:
Logic Programming, Abduction and Probability.
FGCS 1992: 530-538 |
26 | | Nevin Lianwen Zhang,
David Poole:
Stepwise-Decomposable Influence Diagrams.
KR 1992: 141-152 |
25 | EE | Yang Xiang,
David Poole,
Michael P. Beddoes:
Exploring Localization in Bayesian Networks for Large Expert Systems.
UAI 1992: 344-351 |
1991 |
24 | | David Poole:
Representing Diagnostic Knowledge for Probabilistic Horn Abduction.
IJCAI 1991: 1129-1137 |
23 | | Nicolas Helft,
Katsumi Inoue,
David Poole:
Query Answering in Circumscription.
IJCAI 1991: 426-431 |
22 | | Gregory M. Provan,
David Poole:
The Utility of Consistency-Based Diagnostic Techniques.
KR 1991: 461-472 |
21 | EE | David Poole:
Representing Bayesian Networks Within Probabilistic Horn Abduction.
UAI 1991: 271-278 |
20 | EE | Runping Qi,
David Poole:
High Level Path Planning with Uncertainty.
UAI 1991: 287-294 |
19 | | David Poole:
The Effect of Knowledge on Belief: Conditioning, Specificity and the Lottery Paradox in Default Reasoning.
Artif. Intell. 49(1-3): 281-307 (1991) |
18 | | David Poole:
Compiling a Default Reasoning System into Prolog.
New Generation Comput. 9(1): 3-38 (1991) |
1990 |
17 | EE | David Poole,
Gregory M. Provan:
What is the most likely diagnosis?
UAI 1990: 89-106 |
1989 |
16 | | David Poole:
Normality and Faults in Logic-Based Diagnosis.
IJCAI 1989: 1304-1310 |
15 | | Andrew Csinger,
David Poole:
From Utterance to Belief via Presupposition: Default Logic in User-Modelling.
KBCS 1989: 407-417 |
14 | | David Poole:
What the Lottery Paradox Tells Us About Default Reasoning.
KR 1989: 333-340 |
13 | EE | Yang Xiang,
Michael P. Beddoes,
David Poole:
Can Uncertainty Management be Realized in a Finite Totally Ordered Probability Algebra?
UAI 1989: 41-60 |
12 | | David Poole:
Explanation, prediction: an architecture for default, abductive reasoning.
Computational Intelligence 5: 97-110 (1989) |
1988 |
11 | | David Poole:
Representing Knowledge for Logic-Based Diagnosis.
FGCS 1988: 1282-1290 |
10 | EE | Eric Neufeld,
David Poole,
Romas Aleliunas:
Probabilsitic semantics and defaults.
UAI 1988: 121-132 |
9 | | David Poole:
A Logical Framework for Default Reasoning.
Artif. Intell. 36(1): 27-47 (1988) |
8 | | Eric Neufeld,
David Poole:
Combining logic and probability.
Computational Intelligence 4: 98-99 (1988) |
7 | | Eric Neufeld,
David Poole:
Towards solving the multiple extension problem: Combining defaults and probabilities.
Int. J. Approx. Reasoning 2(3): 340-341 (1988) |
1987 |
6 | | David Poole:
Variables in Hypotheses.
IJCAI 1987: 905-908 |
5 | EE | Eric Neufeld,
David Poole:
Towards Solving the Multiple Extension Problem: Combining Defaults and Probability.
UAI 1987: 35-44 |
1986 |
4 | | Randy Goebel,
Koichi Furukawa,
David Poole:
Using Definite Clauses and Integrity Constraints as the Basis for a Theory Formation Approach to Diagnostic Reasoning.
ICLP 1986: 211-222 |
3 | | David Poole,
Randy Goebel:
Gracefully adding negation and disjunction to Prolog.
ICLP 1986: 635-641 |
1985 |
2 | | David Poole:
On the Comparison of Theories: Preferring the Most Specific Explanation.
IJCAI 1985: 144-147 |
1984 |
1 | | David Poole:
A Logical System for Default Reasoning.
NMR 1984: 373-384 |