| 1997 | A Bayesian approach to CART. Hugh A. Chipman, Edward I. George, Robert E. McCulloch |
| 1997 | A Characterization of Bayesian Network Structures and its Application to Leaming. James I. G. Forbes |
| 1997 | A Comparison of Decision Trees, Influence Diagrams and Valuation Networks for Asymmetric Decision Problems. Concha Bielza, Prakash P. Shenoy |
| 1997 | A Comparison of Scientific and Engineering Criteria for Bayesian Model Selection. David Heckerman, David Maxwell Chickering |
| 1997 | A Distance Metric for Classification Trees. William D. Shannon, David Banks |
| 1997 | A Family of Algorithms for Finding Temporal Structure in Data. Tim Oates, Matthew D. Schmill, David D. Jensen, Paul R. Cohen |
| 1997 | A Forward Monte Carlo Method for Solving Influence Diagrams using local Computation. John M. Charnes, Prakash P. Shenoy |
| 1997 | A Note on Cyclic Graphs and Dynamical Feedback Systems. Thomas S. Richardson, Peter Spirtes, Clark Glymour |
| 1997 | A Polynomial Time Algorithm for Determining DAG Equivalence in the Presence of Latent Variables and Selection Bias. Peter Spirtes, Thomas S. Richardson |
| 1997 | A Variational Approach to Bayesian Logistic Regression Models and their Extensions. Tommi S. Jaakkola, Michael I. Jordan |
| 1997 | Adjusting for Multiple Testing in Decision Tree Pruning. David D. Jensen |
| 1997 | An Algorithm for Bayesian Network Construction from Data. Jie Cheng, David A. Bell, Weiru Liu |
| 1997 | An Incremental Construction of a Nonparametric Regression Model. Jan Smid, Petr Volf |
| 1997 | An Objective Function for Belief Net Triangulation. Marina Meila, Michael I. Jordan |
| 1997 | Applying a Gaussian-Bernoulli Mixture Model Network to Binary and Continuous Missing Data in Medicine. David B. Rosen, Harry B. Burke |
| 1997 | Approximate Inference and Forecast Algorithms in Graphical Models for Partially Observed Dynamic Systems. Alberto Lekuona, Beatriz Lacruz, Pilar Lasala |
| 1997 | Asessing and Improving Classification Rules. David J. Hand, Keming Yu, Niall M. Adams |
| 1997 | Bayesian Information Retrieval: Preliminary Evaluation. Michelle Keim, David D. Lewis, David Madigan |
| 1997 | Bayesian Model Averaging in Rule Induction. Pedro Domingos |
| 1997 | Building an EDA Assistant: A Progress Report. Robert St. Amant, Paul R. Cohen |
| 1997 | Case-based Probability Factoring in Bayesian Belief Networks. Luigi Portinale |
| 1997 | Combining Neural Network Regression Estimates Using Principal Components. Christopher J. Merz, Michael J. Pazzani |
| 1997 | Comparing Predictive Inference Methods for Discrete Domains. Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald |
| 1997 | Comparing Tree-Simplification Procedures. Leonard A. Breslow, David W. Aha |
| 1997 | Conceptual Clustering with Numeric-and-Nominal Mixed Data - A New Similarity Based System. Cen Li, Gautam Biswas |
| 1997 | Cross-validated Likelihood for Model Selection in Unsupervised Learning. Padhraic Smyth |
| 1997 | Dataset Cataloging Metadata for Machine Learning Applications Research. Sally Jo Cunningham |
| 1997 | Estimating Latent Causal Inferences: Tetrad II model selection and Bayesian parameter estimation. Richard Scheines |
| 1997 | Extensions of Undirected and Acyclic, Directed Graphical Models. Thomas S. Richardson |
| 1997 | Finding Overlapping Distributions with MML. Rohan A. Baxter, Jonathan J. Oliver |
| 1997 | Graphical Model Based Computer Adaptive Testing. Russell G. Almond, Robert J. Mislevy |
| 1997 | Heuristic Greedy Search Algorithms for Latent Variable Models. Peter Spirtes, Thomas S. Richardson, Christopher Meek |
| 1997 | How to Find Big-Oh in Your Data Set (and How Not To). Catherine C. McGeoch, Paul R. Cohen |
| 1997 | Inductive Inference of First-Order Models from Numeric-Symbolic Data. Floriana Esposito, Sergio Caggese, Donato Malerba, Giovanni Semeraro |
| 1997 | Inference using Probabilistic Concept Trees. Douglas H. Fisher, Douglas A. Talbert |
| 1997 | Integrating Signal and Language Context to Improve Handwritten Phrase Recognition: Alternative Approaches. Djamel Bouchaffra, Eugene Koontz, Venu Krpasundar, Rohini K. Srihari, Sargur N. Srihari |
| 1997 | Intelligent Assistant for Computational Scientists: Integrated Modelling, Experimentation and Analysis. Dawn E. Gregory, Paul R. Cohen |
| 1997 | Intelligent Support of Secondary Data Analysis. Russell G. Almond |
| 1997 | Leaming Influence Diagram from Data. Kazuo J. Ezawa, Narendra K. Gupta |
| 1997 | MML Mixture Modelling of Multi-state, Poisson, vonMises circular and Gaussian Distributions. Chris S. Wallace, David L. Dowe |
| 1997 | Markov chain Monte Carlo methods for decision analysis. Concha Bielza, Peter Müller, David Ríos Insua |
| 1997 | Memory Based Stochastic Optimization for Validation and Tuning of Function Approximators. Artur Dubrawski, Jeff Schneider |
| 1997 | Mixed Memory Markov Models. Lawrence K. Saul, Michael I. Jordan |
| 1997 | Multivariate Density Factorization for Independent Component Analysis: An Unsupervised Artificial Neural Network Approach. Mark Girolami, Colin Fyfe |
| 1997 | On Predictive Classification of Binary Vectors. Mats Gyllenberg, Timo Koski |
| 1997 | On the Error Probability of Model Selection for Classification. Joe Suzuki |
| 1997 | Overfitting Explained. Paul R. Cohen, David D. Jensen |
| 1997 | PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction. Scott E. Decatur |
| 1997 | Preface. David Madigan, Padhraic Smyth |
| 1997 | Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, AISTATS 1997, Fort Lauderdale, Florida, USA, January, 4-7, 1997 David Madigan, Padhraic Smyth |
| 1997 | Robust Interpretation of Neural Network models. Orna Intrator, Nathan Intrator |
| 1997 | Robust Parameter Learning in Bayesian Networks with Missing Data. Marco Ramoni, Paola Sebastiani |
| 1997 | Statistical Aspects of Classification in Drifting Populations. Charles C. Taylor, Gholamreza Nakhaeizadeh, G. Kunisch |
| 1997 | Strategies for Model Mixing in Generalized Linear Models. Merlise A. Clyde |
| 1997 | The Effects of Training Set Size on Decision Tree Complexity. Tim Oates, David D. Jensen |
| 1997 | Using Classification Trees to Improve Causal Inferences in Observational Studies. Louis Anthony Cox Jr. |
| 1997 | Using Prediction to Improve Combinatorial Optimization Search. Justin A. Boyan, Andrew W. Moore |
| 1997 | Variational Inference for continuous Sigmoidal Bayesian Networks. Brendan J. Frey |
| 1997 | WWW Cache Layout to Ease Network Overload. Kenichi Yoshida |
| 1997 | Wavelet based Random Densities. David Ríos Insua, Brani Vidakovic |