David L. Poole

Publication Activity (10 Years)

Years Active: 1987-2022
Publications (10 Years): 4

Top Topics

Probabilistic Inference

Influence Diagrams

Bayesian Networks

Top Venues

Publications

Matthew C. Dirks, David L. Poole
Automatic Neural Network Hyperparameter Optimization for Extrapolation: Lessons Learned from Visible and Near-Infrared Spectroscopy of Mango Fruit. CoRR (2022)
Giuseppe M. J. Barca, Jorge L. Galvez Vallejo, David L. Poole, Melisa Alkan, Ryan Stocks, Alistair P. Rendell, Mark S. Gordon
Enabling large-scale correlated electronic structure calculations: scaling the RI-MP2 method on summit. SC (2021)
Chenliang Zhou, Dominic Kuang, Jingru Liu, Hanbo Yang, Zijia Zhang, Alan K. Mackworth, David L. Poole
AISpace2: An Interactive Visualization Tool for Learning and Teaching Artificial Intelligence. AAAI (2020)
Giuseppe M. J. Barca, David L. Poole, Jorge L. Galvez Vallejo, Melisa Alkan, Colleen Bertoni, Alistair P. Rendell, Mark S. Gordon
Scaling the hartree-fock matrix build on summit. SC (2020)
Yang Xiang, Michael P. Beddoes, David L. Poole
Can Uncertainty Management be Realized in a Finite Totally Ordered Probability Algebra? CoRR (2013)
David L. Poole, Gregory M. Provan
What is an Optimal Diagnosis? CoRR (2013)
Eric Neufeld, David L. Poole
Towards Solving the Multiple Extension Problem: Combining Defaults and Probabilities CoRR (2013)
Nevin Lianwen Zhang, David L. Poole
Sidestepping the Triangulation Problem in Bayesian Net Computations CoRR (2013)
David L. Poole
A Framework for Decision-Theoretic Planning I: Combining the Situation Calculus, Conditional Plans, Probability and Utility CoRR (2013)
David L. Poole
The use of conflicts in searching Bayesian networks CoRR (2013)
Nevin Lianwen Zhang, Runping Qi, David L. Poole
Incremental computation of the value of perfect information in stepwise-decomposable influence diagrams CoRR (2013)
Runping Qi, Nevin Lianwen Zhang, David L. Poole
Solving Asymmetric Decision Problems with Influence Diagrams CoRR (2013)
David L. Poole
Context-Specific Approximation in Probabilistic Inference CoRR (2013)
David L. Poole
Exploiting the Rule Structure for Decision Making within the Independent Choice Logic CoRR (2013)
Michael C. Horsch, David L. Poole
Flexible Policy Construction by Information Refinement CoRR (2013)
Eric Neufeld, David L. Poole
Probabilistic Semantics and Defaults CoRR (2013)
Michael C. Horsch, David L. Poole
An Anytime Algorithm for Decision Making under Uncertainty CoRR (2013)
Runping Qi, David L. Poole
High Level Path Planning with Uncertainty CoRR (2013)
Michael C. Horsch, David L. Poole
A Dynamic Approach to Probabilistic Inference CoRR (2013)
David L. Poole
Representing Bayesian Networks within Probabilistic Horn Abduction CoRR (2013)
Michael C. Horsch, David L. Poole
Estimating the Value of Computation in Flexible Information Refinement CoRR (2013)
Yang Xiang, David L. Poole, Michael P. Beddoes
Exploring Localization in Bayesian Networks for Large Expert Systems CoRR (2013)
Nevin Lianwen Zhang, David L. Poole
Inter-causal Independence and Heterogeneous Factorization CoRR (2013)
David L. Poole, Nevin Lianwen Zhang
Exploiting Contextual Independence In Probabilistic Inference CoRR (2011)
David L. Poole, Nevin Lianwen Zhang
Exploiting Contextual Independence In Probabilistic Inference. J. Artif. Intell. Res. 18 (2003)
Nevin Lianwen Zhang, David L. Poole
On the Role of Context-Specific Independence in Probabilistic Inference. IJCAI (1999)
Michael C. Horsch, David L. Poole
Estimating the Value of Computation in Flexible Information Refinement. UAI (1999)
Michael C. Horsch, David L. Poole
An Anytime Algorithm for Decision Making under Uncertainty. UAI (1998)
Nevin Lianwen Zhang, David L. Poole
Exploiting Causal Independence in Bayesian Network Inference CoRR (1996)
Michael C. Horsch, David L. Poole
Flexible Policy Construction by Information Refinement. UAI (1996)
Nevin Lianwen Zhang, David L. Poole
Exploiting Causal Independence in Bayesian Network Inference. J. Artif. Intell. Res. 5 (1996)
Runping Qi, David L. Poole
A New Method for Influence Diagram Evaluation. Comput. Intell. 11 (1995)
Nevin Lianwen Zhang, Runping Qi, David L. Poole
A computational theory of decision networks. Int. J. Approx. Reason. 11 (2) (1994)
Nevin Lianwen Zhang, David L. Poole
Intercausal Independence and Heterogeneous Factorization. UAI (1994)
Runping Qi, Nevin Lianwen Zhang, David L. Poole
Solving Asymmetric Decision Problems with Influence Diagrams. UAI (1994)
Nevin Lianwen Zhang, Runping Qi, David L. Poole
Incremental computation of the value of perfect information in stepwise-decomposable influence diagrams. UAI (1993)
Nevin Lianwen Zhang, David L. Poole
Stepwise-Decomposable Influence Diagrams. KR (1992)
Gregory M. Provan, David L. Poole
The Utility of Consistency-Based Diagnostic Techniques. KR (1991)
Runping Qi, David L. Poole
High Level Path Planning with Uncertainty. UAI (1991)
David L. Poole, Gregory M. Provan
What is the most likely diagnosis? UAI (1990)
Eric Neufeld, David L. Poole, Romas Aleliunas
Probabilsitic semantics and defaults. UAI (1988)
Eric Neufeld, David L. Poole
Towards solving the multiple extension problem: Combining defaults and probabilities. Int. J. Approx. Reason. 2 (3) (1988)
Eric Neufeld, David L. Poole
Combining logic and probability. Comput. Intell. 4 (1988)
Eric Neufeld, David L. Poole
Towards Solving the Multiple Extension Problem: Combining Defaults and Probability. UAI (1987)