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GeezerVison is showing proceedings.mlr.press — Proceedings of Machine Learning Research [edit] Reissue R1: Sixth International Workshop on Artificial Intelligence and Statistics, 4-7 January 1997, Fort Lauderdale, FL, USA[edit] Editors: David Madigan, Padhraic Smyth Filter Authors: Filter Titles: Preface David Madigan, Padhraic Smyth; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:i-xiii [abs][Download PDF] Intelligent Support of Secondary Data Analysis Russell G. Almond; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:1-10 [abs][Download PDF] Graphical Model Based Computer Adaptive Testing Russell G. Almond, Robert J. Mislevy; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:11-22 [abs][Download PDF] Finding Overlapping Distributions with MML Rohan A. Baxter, Jonathan J. Oliver; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:23-30 [abs][Download PDF] Markov chain Monte Carlo methods for decision analysis Concha Bielza, Peter Muller, David Rios Insua; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:31-38 [abs][Download PDF] A Comparison of Decision Trees, Influence Diagrams and Valuation Networks for Asymmetric Decision Problems Concha Bielza, Prakash P. Shenoy; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:39-46 [abs][Download PDF] Integrating Signal and Language Context to Improve Handwritten Phrase Recognition: Alternative Approaches Djamel Bouchaffra, Eugene Koontz, V. Krpasundar, Rohini K. Srihari, Sargur N. Srihari; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:47-54 [abs][Download PDF] Using Prediction to Improve Combinatorial Optimization Search Justin A. Boyan, Andrew W. Moore; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:55-66 [abs][Download PDF] Comparing Tree-Simplification Procedures Leonard A. Breslow, David W. Aha; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:67-74 [abs][Download PDF] A Forward Monte Carlo Method for Solving Influence Diagrams using local Computation John M. Charnes, Prakash P. Shenoy; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:75-82 [abs][Download PDF] An Algorithm for Bayesian Network Construction from Data Jie Cheng, David A. Bell, Weiru Liu; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:83-90 [abs][Download PDF] A Bayesian approach to CART Hugh Chipman, Edward I. George, Robert E. McCulloch; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:91-102 [abs][Download PDF] Strategies for Model Mixing in Generalized Linear Models Merlise Clyde; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:103-114 [abs][Download PDF] Overfitting Explained Paul R. Cohen, David Jensen; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:115-122 [abs][Download PDF] Using Classification Trees to Improve Causal Inferences in Observational Studies Louis Anthony Cox Jr; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:123-138 [abs][Download PDF] Dataset Cataloging Metadata for Machine Learning Applications Research Sally Jo Cunningham; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:139-146 [abs][Download PDF] PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction Scott E. Decatur; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:147-156 [abs][Download PDF] Bayesian Model Averaging in Rule Induction Pedro Domingos; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:157-164 [abs][Download PDF] Memory Based Stochastic Optimization for Validation and Tuning of Function Approximators Artur Dubrawski, Jeff Schneider; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:165-172 [abs][Download PDF] Inductive Inference of First-Order Models from Numeric-Symbolic Data Floriana Esposito, Sergio Caggese, Donato Malerba, Giovanni Semeraro; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:173-182 [abs][Download PDF] Leaming Influence Diagram from Data Kazuo J. Ezawa, Narendra K. Gupta; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:183-190 [abs][Download PDF] Inference using Probabilistic Concept Trees Doug Fisher, Doug Talbert; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:191-202 [abs][Download PDF] A Characterization of Bayesian Network Structures and its Application to Leaming James I. G. Forbes; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:203-210 [abs][Download PDF] Variational Inference for continuous Sigmoidal Bayesian Networks Brendan J. Frey; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:211-222 [abs][Download PDF] Multivariate Density Factorization for Independent Component Analysis: An Unsupervised Artificial Neural Network Approach Mark Girolami, Colin Fyfe; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:223-230 [abs][Download PDF] Intelligent Assistant for Computational Scientists: Integrated Modelling, Experimentation and Analysis Dawn E. Gregory, Paul R. Cohen; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:231-238 [abs][Download PDF] On Predictive Classification of Binary Vectors Mats Gyllenberg, Timo Koski; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:239-242 [abs][Download PDF] Asessing and Improving Classification Rules David J. Hand, Kerning Yu, Niall Ada; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:243-254 [abs][Download PDF] Robust Interpretation of Neural Network models Oma Intrator, Nathan Intrator; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:255-262 [abs][Download PDF] Wavelet based Random Densities David Rios Insua, Brani Vidakovic; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:263-274 [abs][Download PDF] A Comparison of Scientific and Engineering Criteria for Bayesian Model Selection David Heckerman, David Maxwell Chickering; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:275-282 [abs][Download PDF] A Variational Approach to Bayesian Logistic Regression Models and their Extensions Tommi S. Jaakkola, Michael I. Jordan; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:283-294 [abs][Download PDF] Adjusting for Multiple Testing in Decision Tree Pruning David Jensen; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:295-302 [abs][Download PDF] Bayesian Information Retrieval: Preliminary Evaluation Michelle Keim, David D. Lewis, David Madigan; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:303-318 [abs][Download PDF] Comparing Predictive Inference Methods for Discrete Domains Petri Kontkanen, Petri Myllymäki, Tomi Silander, Henry Tirri, Peter Grünwald; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:311-318 [abs][Download PDF] Approximate Inference and Forecast Algorithms in Graphical Models for Partially Observed Dynamic Systems Alberto Lekuona, Beatrix Lacruz, Pilar Lasala; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:319-319 [abs][Download PDF] Conceptual Clustering with Numeric-and-Nominal Mixed Data - A New Similarity Based System Cen Li, Gautam Biswas; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:327-346 [abs][Download PDF] How to Find Big-Oh in Your Data Set (and How Not To) C. C. McGeoch, P. R. Cohen; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:347-354 [abs][Download PDF] An Objective Function for Belief Net Triangulation Marina Meilă, Michael I. Jordan; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:355-362 [abs][Download PDF] Combining Neural Network Regression Estimates Using Principal Components Christopher J. Merz, Michael J. Pazzani; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:363-370 [abs][Download PDF] A Family of Algorithms for Finding Temporal Structure in Data Tim Oates, Matthew J. Schmill, David Jensen, Paul R. Cohen; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:371-378 [abs][Download PDF] The Effects of Training Set Size on Decision Tree Complexity Tim Oates, David Jensen; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:379-390 [abs][Download PDF] Case-based Probability Factoring in Bayesian Belief Networks Luigi Portinale; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:391-398 [abs][Download PDF] Robust Parameter Learning in Bayesian Networks with Missing Data Marco Ramoni, Paola Sebastiani; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:399-406 [abs][Download PDF] Extensions of Undirected and Acyclic, Directed Graphical Models Thomas S. Richardson; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:407-420 [abs][Download PDF] A Note on Cyclic Graphs and Dynamical Feedback Systems Thomas S. Richardson, Peter Spirtes, Clark Glymour; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:421-428 [abs][Download PDF] Applying a Gaussian-Bernoulli Mixture Model Network to Binary and Continuous Missing Data in Medicine David B. Rosen, Harry B. Burke; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:429-436 [abs][Download PDF] Mixed Memory Markov Models Lawrence K. Saul, Michael I. Jordan; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:437-444 [abs][Download PDF] Estimating Latent Causal Inferences: Tetrad II model selection and Bayesian parameter estimation Richard Scheines; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:445-456 [abs][Download PDF] A Distance Metric for Classification Trees William D. Shannon, David Banks; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:457-464 [abs][Download PDF] An Incremental Construction of a Nonparametric Regression Model Jan Smid, Petr Volf; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:465-472 [abs][Download PDF] Cross-validated Likelihood for Model Selection in Unsupervised Learning Padhraic Smyth; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:473-480 [abs][Download PDF] Heuristic Greedy Search Algorithms for Latent Variable Models Peter Spirtes, Thomas S.Richardson, Christopher Meek; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:481-488 [abs][Download PDF] A Polynomial Time Algorithm for Determining DAG Equivalence in the Presence of Latent Variables and Selection Bias Peter Spirtes, Thomas S. Richardson; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:489-500 [abs][Download PDF] Building an EDA Assistant: A Progress Report Robert St. Amant, Paul R. Cohen; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:501-512 [abs][Download PDF] On the Error Probability of Model Selection for Classification Joe Suzuki; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:513-520 [abs][Download PDF] Statistical Aspects of Classification in Drifting Populations C. C. Taylor, G. Nakhaeizadeh, G. Kunisch; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:521-528 [abs][Download PDF] MML Mixture Modelling of Multi-state, Poisson, vonMises circular and Gaussian Distributions Chris S. Wallace, David L. Dowe; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:529-536 [abs][Download PDF] WWW Cache Layout to Ease Network Overload Kenichi Yoshida; Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, PMLR R1:537-548 [abs][Download PDF] subscribe via RSS |
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