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 |