| 1997 | A Bayesian Approach to Learning Bayesian Networks with Local Structure. David Maxwell Chickering, David Heckerman, Christopher Meek |
| 1997 | A Scheme for Approximating Probabilistic Inference. Rina Dechter, Irina Rish |
| 1997 | A Standard Approach for Optimizing Belief Network Inference Using Query DAGs. Adnan Darwiche, Gregory M. Provan |
| 1997 | A Target Classification Decision Aid. Todd Michael Mansell |
| 1997 | Algorithm Portfolio Design: Theory vs. Practice. Carla P. Gomes, Bart Selman |
| 1997 | Algorithms for Learning Decomposable Models and Chordal Graphs. Luis M. de Campos, Juan F. Huete |
| 1997 | An Information-Theoretic Analysis of Hard and Soft Assignment Methods for Clustering. Michael J. Kearns, Yishay Mansour, Andrew Y. Ng |
| 1997 | Bayes Networks for Sonar Sensor Fusion. Ami Berler, Solomon Eyal Shimony |
| 1997 | Cognitive Processing of Causal Knowledge. Scott B. Morris, Doug Cork, Richard E. Neapolitan |
| 1997 | Composition of Probability Measures on Finite Spaces. Radim Jirousek |
| 1997 | Computational Advantages of Relevance Reasoning in Bayesian Belief Networks. Yan Lin, Marek J. Druzdzel |
| 1997 | Conditional Utility, Utility Independence, and Utility Networks. Yoav Shoham |
| 1997 | Corporate Evidential Decision Making in Performance Prediction Domains. Alex G. Büchner, Werner Dubitzky, Alfons Schuster, Philippe Lopes, Peter G. O'Donoghue, John G. Hughes, David A. Bell, Kenneth Adamson, John A. White, John M. C. C. Anderson, Maurice D. Mulvenna |
| 1997 | Correlated Action Effects in Decision Theoretic Regression. Craig Boutilier |
| 1997 | Cost-Sharing in Bayesian Knowledge Bases. Solomon Eyal Shimony, Carmel Domshlak, Eugene Santos Jr. |
| 1997 | Decision-Making under Ordinal Preferences and Comparative Uncertainty. Didier Dubois, Hélène Fargier, Henri Prade |
| 1997 | Defining Explanation in Probabilistic Systems. Urszula Chajewska, Joseph Y. Halpern |
| 1997 | Efficient Induction of Finite State Automata. Matthew S. Collins, Jonathan J. Oliver |
| 1997 | Estimation of Effects of Sequential Treatments by Reparameterizing Directed Acyclic Graphs. James M. Robins, Larry A. Wasserman |
| 1997 | Exploiting Uncertain and Temporal Information in Correlation. John Bigham |
| 1997 | Exploring Parallelism in Learning Belief Networks. Tongsheng Chu, Yang Xiang |
| 1997 | Fast Value Iteration for Goal-Directed Markov Decision Processes. Nevin Lianwen Zhang, Weihong Zhang |
| 1997 | Image Segmentation in Video Sequences: A Probabilistic Approach. Nir Friedman, Stuart Russell |
| 1997 | Incremental Map Generation by Low Cost Robots Based on Possibility/Necessity Grids. Maite López-Sánchez, Ramón López de Mántaras, Carles Sierra |
| 1997 | Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes. Anthony R. Cassandra, Michael L. Littman, Nevin Lianwen Zhang |
| 1997 | Independence of Causal Influence and Clique Tree Propagation. Nevin Lianwen Zhang, Li Yan |
| 1997 | Inference with Idempotent Valuations. Luis D. Hernández, Serafín Moral |
| 1997 | Learning Bayesian Nets that Perform Well. Russell Greiner, Adam J. Grove, Dale Schuurmans |
| 1997 | Learning Bayesian Networks from Incomplete Databases. Marco Ramoni, Paola Sebastiani |
| 1997 | Learning Belief Networks in Domains with Recursively Embedded Pseudo Independent Submodels. Jun Hu, Yang Xiang |
| 1997 | Lexical Access for Speech Understanding using Minimum Message Length Encoding. Ian E. Thomas, Ingrid Zukerman, Jonathan J. Oliver, David W. Albrecht, Bhavani Raskutti |
| 1997 | Limitations of Skeptical Default Reasoning. Jens Doerpmund |
| 1997 | Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes. Thomas L. Dean, Robert Givan, Sonia M. Leach |
| 1997 | Models and Selection Criteria for Regression and Classification. David Heckerman, Christopher Meek |
| 1997 | Myopic Value of Information in Influence Diagrams. Søren L. Dittmer, Finn Verner Jensen |
| 1997 | Nested Junction Trees. Uffe Kjærulff |
| 1997 | Network Fragments: Representing Knowledge for Constructing Probabilistic Models. Kathryn B. Laskey, Suzanne M. Mahoney |
| 1997 | Nonuniform Dynamic Discretization in Hybrid Networks. Alexander V. Kozlov, Daphne Koller |
| 1997 | Object-Oriented Bayesian Networks. Daphne Koller, Avi Pfeffer |
| 1997 | On Stable Multi-Agent Behavior in Face of Uncertainty. Moshe Tennenholtz |
| 1997 | Perception, Attention, and Resources: A Decision-Theoretic Approach to Graphics Rendering. Eric Horvitz, Jed Lengyel |
| 1997 | Probabilistic Acceptance. Henry E. Kyburg Jr. |
| 1997 | Probability Update: Conditioning vs. Cross-Entropy. Adam J. Grove, Joseph Y. Halpern |
| 1997 | Problem-Focused Incremental Elicitation of Multi-Attribute Utility Models. Vu A. Ha, Peter Haddawy |
| 1997 | Region-Based Approximations for Planning in Stochastic Domains. Nevin Lianwen Zhang, Wenju Liu |
| 1997 | Relational Bayesian Networks. Manfred Jaeger |
| 1997 | Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market. David M. Pennock, Michael P. Wellman |
| 1997 | Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions. Fábio Gagliardi Cozman |
| 1997 | Score and Information for Recursive Exponential Models with Incomplete Data. Bo Thiesson |
| 1997 | Sequential Thresholds: Context Sensitive Default Extensions. Choh Man Teng |
| 1997 | Sequential Update of Bayesian Network Structure. Nir Friedman, Moisés Goldszmidt |
| 1997 | Structure and Parameter Learning for Causal Independence and Causal Interaction Models. Christopher Meek, David Heckerman |
| 1997 | Structured Arc Reversal and Simulation of Dynamic Probabilistic Networks. Adrian Y. W. Cheuk, Craig Boutilier |
| 1997 | Support and Plausibility Degrees in Generalized Functional Models. Paul-André Monney |
| 1997 | The Complexity of Plan Existence and Evaluation in Probabilistic Domains. Judy Goldsmith, Michael L. Littman, Martin Mundhenk |
| 1997 | Time-Critical Action: Representations and Application. Eric Horvitz, Adam Seiver |
| 1997 | UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, Brown University, Providence, Rhode Island, USA, August 1-3, 1997 Dan Geiger, Prakash P. Shenoy |
| 1997 | Update Rules for Parameter Estimation in Bayesian Networks. Eric Bauer, Daphne Koller, Yoram Singer |