| 1997 | Relational Bayesian Networks. | Manfred Jaeger |
| 1997 | Learning Belief Networks in Domains with Recursively Embedded Pseudo Independent Submodels. | Jun Hu, Yang Xiang |
| 1997 | Time-Critical Action: Representations and Application. | Eric Horvitz, Adam Seiver |
| 1997 | Perception, Attention, and Resources: A Decision-Theoretic Approach to Graphics Rendering. | Eric Horvitz, Jed Lengyel |
| 1997 | Inference with Idempotent Valuations. | Luis D. Hernndez, Serafn Moral |
| 1997 | Models and Selection Criteria for Regression and Classification. | David Heckerman, Christopher Meek |
| 1997 | Problem-Focused Incremental Elicitation of Multi-Attribute Utility Models. | Vu A. Ha, Peter Haddawy |
| 1997 | Probability Update: Conditioning vs. Cross-Entropy. | Adam J. Grove, Joseph Y. Halpern |
| 1997 | Learning Bayesian Nets that Perform Well. | Russell Greiner, Adam J. Grove, Dale Schuurmans |
| 1997 | Algorithm Portfolio Design: Theory vs. Practice. | Carla P. Gomes, Bart Selman |
| 1997 | The Complexity of Plan Existence and Evaluation in Probabilistic Domains. | Judy Goldsmith, Michael L. Littman, Martin Mundhenk |
| 1997 | Image Segmentation in Video Sequences: A Probabilistic Approach. | Nir Friedman, Stuart Russell |
| 1997 | Sequential Update of Bayesian Network Structure. | Nir Friedman, Moiss Goldszmidt |
| 1997 | Decision-Making under Ordinal Preferences and Comparative Uncertainty. | Didier Dubois, Hlne Fargier, Henri Prade |
| 1997 | Limitations of Skeptical Default Reasoning. | Jens Doerpmund |
| 1997 | Myopic Value of Information in Influence Diagrams. | Sren L. Dittmer, Finn Verner Jensen |
| 1997 | A Scheme for Approximating Probabilistic Inference. | Rina Dechter, Irina Rish |
| 1997 | Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes. | Thomas L. Dean, Robert Givan, Sonia M. Leach |
| 1997 | A Standard Approach for Optimizing Belief Network Inference Using Query DAGs. | Adnan Darwiche, Gregory M. Provan |
| 1997 | Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions. | Fbio Gagliardi Cozman |
| 1997 | Efficient Induction of Finite State Automata. | Matthew S. Collins, Jonathan J. Oliver |
| 1997 | Exploring Parallelism in Learning Belief Networks. | Tongsheng Chu, Yang Xiang |
| 1997 | A Bayesian Approach to Learning Bayesian Networks with Local Structure. | David Maxwell Chickering, David Heckerman, Christopher Meek |
| 1997 | Structured Arc Reversal and Simulation of Dynamic Probabilistic Networks. | Adrian Y. W. Cheuk, Craig Boutilier |
| 1997 | Defining Explanation in Probabilistic Systems. | Urszula Chajewska, Joseph Y. Halpern |