| 1999 | A bayesian model for collaborative filtering. Yung-Hsin Chien, Edward I. George |
| 1999 | A latent variable model for multivariate discretization. Stefano Monti, Gregory F. Cooper |
| 1999 | A learning rule based method of feature extraction with application to acoustic signal classification. Michael Larkin |
| 1999 | A note on the comparison of polynomial selection methods. Murlikrishna Viswanathan, Chris S. Wallace |
| 1999 | An experiment in causal discovery using a pneumona database. Peter Spirtes, Gregory F. Cooper |
| 1999 | Analysis of multivariate time series via a hidden graphical model. Elena Stanghellini, Joe Whittaker |
| 1999 | Bayesian graphical models, intention-to-treat, and the rubin causal Model. David Madigan |
| 1999 | Boosting methodology for regression problems. Greg Ridgeway, David Madigan, Thomas Richardson |
| 1999 | Causal Mechanisms and Classification Trees for Predicting Chemical Carcinogens. Louis Anthony Cox Jr. |
| 1999 | Conditional products: An alternative approach to conditional independence. A. Philip Dawid, Milan Studený |
| 1999 | Efficient learning using constrained sufficient statistics. Nir Friedman, Lise Getoor |
| 1999 | Efficient mining of statistical dependencies. Tim Oates, Matthew D. Schmill, Paul R. Cohen, Casey Durfee |
| 1999 | Efficient optimization of large k real-time control algorithm. Peter J. Schubert, Daniel H. Loughlin |
| 1999 | Entropy-driven inference and inconsistency. Wilhelm Rödder, Longgui Xu |
| 1999 | Exploring the robustness of Bayesian and information-theoretic methods for predictive inference. Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri |
| 1999 | Geometric modeling of a nuclear environment. Jan De Geeter, Marc Decréton, Joris De Schutter, Herman Bruyninckx, Hendrik Van Brussel |
| 1999 | Geometry, moments and Bayesian networks with hidden variables. Raffaella Settimi, Jim Q. Smith |
| 1999 | Hierarchical IFA Belief Networks. Hagai Attias |
| 1999 | Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency. Wenxin Jiang, Martin A. Tanner |
| 1999 | Joint probabilistic clustering of multivariate and sequential data. Padhraic Smyth |
| 1999 | Learned models for continuous planning. Matthew D. Schmill, Tim Oates, Paul R. Cohen |
| 1999 | Learning augmented Bayesian classifiers: A comparison of distribution-based and classification-based approaches. Eamonn J. Keogh, Michael J. Pazzani |
| 1999 | Learning conditional probabilities from incomplete databases - An experimental comparison. Marco Ramoni, Paola Sebastiani |
| 1999 | Learning extensible multi-entity directed graphical models. Kathryn Blackmond Laskey |
| 1999 | Local experts combination through density decomposition. Ahmed Rida, Abderrahim Labbi, Christian Pellegrini |
| 1999 | Mean field inference in a general probabilistic setting. Michael Haft, Reimar Hofmann, Volker Tresp |
| 1999 | Mixture model clustering with the multimix program. Murray A. Jorgensen, Lynette A. Hunt |
| 1999 | Model choice: A minimum posterior predictive loss approach. Sujit Kumar Ghosh, Alan E. Gelfand |
| 1999 | Model folding for data subject to nonresponse. Paola Sebastiani, Marco Ramoni |
| 1999 | Modeling decision tree performance with the power law. Lewis J. Frey, Douglas H. Fisher |
| 1999 | On the application of the bootstrap for computing confidence measures on features of induced Bayesian networks. Nir Friedman, Moisés Goldszmidt, Abraham J. Wyner |
| 1999 | On the geometry of DAG models with hidden variables. Dan Geiger, David Heckerman, Henry King, Christopher Meek |
| 1999 | Parameter learning from incomplete data for Bayesian networks. Robert G. Cowell |
| 1999 | Pattern discovery via entropy minimization. Matthew Brand |
| 1999 | Probabilistic kernel regression models. Tommi S. Jaakkola, David Haussler |
| 1999 | Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, AISTATS 1999, Fort Lauderdale, Florida, USA, January 3-6, 1999 David Heckerman, Joe Whittaker |
| 1999 | Process-oriented evaluation: The next step. Pedro M. Domingos |
| 1999 | Relaxing the local independence assumption for quantitative learning in acyclic directed graphical models through hierarchical partition models. Daniela Golinelli, David Madigan, Guido Consonni |
| 1999 | Statistical challenges to inductive inference in linked data. David D. Jensen |
| 1999 | Stochastic local search for Bayesian network. Kalev Kask, Rina Dechter |
| 1999 | Structure optimization of density estimation models applied to regression problems with dynamic noise. Martin Kreutz, Anja M. Reimetz, Bernhard Sendhoff, Claus Weihs, Werner von Seelen |
| 1999 | Testing regression models with fewer regressors. Judea Pearl, Peyman Meshkat |
| 1999 | The exploration of new methods for learning in binary Boltzmann machines. Keith Humphreys, D. M. Titterington |
| 1999 | Tractable structure search in the presence of latent variables. Thomas Richardson, Heiko Bailer, Moulinath Banarjees |
| 1999 | Transfer of information between system and evidence models. Russell G. Almond, Edward Herskovits, Robert J. Mislevy, Linda Stienberg |
| 1999 | Visual design support for probabilistic network application. Axel Vogler |