David L. Poole

44 papers A* 4A 12Journal 28

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