Frontmatter

Doug Fisher, Hans-Joachim Lenz; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:i-x

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A Comparative Evaluation of Sequential Feature Selection Algorithms

David W. Aha, Richard L. Bankert; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:1-7

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Learning Multiple Relational Rule-based Models

Kamal M. Ali, Clifford Brunk, Michael J. Pazzani; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:8-14

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Hypergraph Grammars for Knowledge Based Model Construction

Russell G. Almond; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:15-22

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Missing Data Models as Meta-Data

Russell G. Almond, James Schimert; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:23-34

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Tools for Empirically Analyzing AI Programs

Scott D. Anderson, David M. Hart, David L. Westbrook, Paul R. Cohen, Adam Carlson; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:35-41

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Picking the Best Expert from a Sequence

Ruth Bergman, Ronald L. Rivest; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:42-48

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Ploxoma: Testbed for Uncertain Inference

Hannah Blau; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:49-55

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Decision-Theoretic Case-Based Reasoning

John S. Breese, David Heckerman; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:56-63

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Discovering Morphemic Suffixes A Case Study In MDL Induction

Michael R. Brent, Sreerama K. Murthy, Andrew Lundberg; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:64-75

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Software for Data Analysis with Graphical Models

Wray L. Buntine, H. Scott Roy; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:76-86

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Comparing the Prediction Accuracy of Statistical Models and Artificial Neural Networks in Breast Cancer

Harry B. Burke, David B. Rosen, Philip H. Goodman; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:87-87

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Tailoring Rulesets to Misclassification Costs

Jason Catlett; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:88-94

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Predicting Stock Returns with Genetic Programming: Do the Short-Term Nonlinear Regularities Exist?

Shu-Heng Chen, Chia-Hsuan Yeh; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:95-101

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Analysis and Application of the Generalized Mean-Shift Process

Yizong Cheng; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:102-111

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Learning Bayesian Networks: Search Methods and Experimental Results

David Maxwell Chickering, Dan Geiger, David Heckerman; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:112-128

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Two Algorithms for Inducing Structural Equation Models from Data

Paul R. Cohen, Dawn E. Gregory, Lisa Ballesteros, Robert St. Amant; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:129-139

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Causal Discovery from Data in the Presence of Selection Bias

Gregory F. Cooper; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:140-150

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Using Causal Knowledge to Learn More Useful Decision Rules From Data

Louis Anthony Cox Jr; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:151-160

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Truncated Gaussians as Tolerance Sets

Fabio Cozman, Eric Krotkov; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:161-167

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Textual Data Mining

Sally Jo Cunningham; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:168-174

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Learning in Hybrid Noise Environments Using Statistical Queries

Scott Evan Decatur; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:175-185

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Non-Linear Dimensionality Reduction: A Comparative Performance Analysis

Olivier Y. de Vel, Sofianto Li, Danny Coomans; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:186-191

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Two Applications of Statistical Modelling to Natural Language Processing

William Du Mouchel, Carol Friedman, George Hripcsak, Stephen B. Johnson, Paul D. Clayton; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:192-198

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Heuristic Search for Model Structure

John F. Elder IV; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:199-210

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A Further Comparison of Pruning Methods in Decision-Tree Induction

Floriana Esposito, Donato Malerba, Giovanni Semeraro; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:211-218

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Which method learns most from the data? Methodological Issues in the Analysis of Comparative Studies

A. J. Feelders, W. J. H. Verkooijen; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:219-225

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Classifying New Words for Robust Parsing

Alexander Franz; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:226-232

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Learning Possibilistic Networks from Data

Jörg Gebhardt, Rudolf Kruse; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:233-244

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Abductive Reasoning in Bayesian Belief Networks Using a Genetic Algorithm

E. S. Gelsema; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:245-251

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Omega-Stat: An Environment for Implementing Intelligent Modeling Strategies

E. James Harner, Hanga C. Galfalvy; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:252-258

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A Decision-Based View of Causality

David Heckerman, Ross Schachter; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:259-270

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Detecting Imperfect Patterns in Event Streams Using Local Search

Adele E. Howe; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:271-277

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Solving Influence Diagrams Using Gibbs Sampling

Ali Jenzarli; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:278-284

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Robust Linear Discriminant Trees

George H. John; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:285-291

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Viewpoint-Based Measurement of Semantic Similarity between Words

Kaname Kasahara, Kazumitsu Matsuzawa, Tsutomu Ishikawa, Tsukasa Kawaoka; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:292-302

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Hierarchical Clustering of Composite Objects with a Variable Number of Components

Alain Ketterlin, Pierre Gançarski, Jerzy J. Korczak; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:303-309

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Structure Learning of Bayesian Networks by Hybrid Genetic Algorithms

Pedro Larrañaga, Roberto H. Murga, Mikel Poza, Cindy M. H. Kuijpers; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:310-316

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On Graphical Models for Dynamic Systems

Alberto Lekuona, Beatriz Lacruz, Pilar Lasala; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:317-323

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Propagation of Gaussian Belief Functions

Liping Liu; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:324-330

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Tree Structured Interpretable Regression

David Lubinsky; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:331-341

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On Test Selection Strategies for Belief Networks

David Madigan, Russell G. Almond; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:342-353

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An Axiomatization of Loglinear Models with an Application to the Model-Search Problem

Francesco M. Malvestuto; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:354-365

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MENTOR: A Bayesian Model for Prediction and Intervention in Mental Retardation

Subramani Mani; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:366-371

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Evaluating and Comparing Classifiers: Complexity Measures

J. Kent Martin; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:372-378

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An Exact Probability Metric for Decision Tree Splitting and Stopping

J. Kent Martin; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:379-385

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Dynamical Learning Bias Selection

Christopher J. Merz; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:386-395

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Modeling Life Time Data by Neural Networks

Young B. Moon, Hyune-Ju Kim; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:396-402

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Statistical Preprocessing for Decision Tree Induction

Sreerama K. Murthy; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:403-409

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Part-of-Speech Tagging from "Small" Data Sets

Eric Neufeld, Greg Adams, Henry Choy, Ron Orthner, Tim Philip, Ahmed Tawfik; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:410-416

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Detecting Complex Dependencies in Categorical Data

Tim Oates, Dawn E. Gregory, Paul R. Cohen; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:417-423

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Searching for Dependencies in Bayesian Classifiers

Michael J. Pazzani; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:424-429

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A Causal Calculus for Statistical Research

Judea Pearl; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:430-449

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Learning Bayesian Networks Using Feature Selection

Gregory M. Provan, Moninder Singh; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:450-456

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Framework for a Generic Knowledge Discovery Toolkit

Pat Riddle, Roman Fresnedo, David Newman; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:457-468

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Combining Statistics and AI in the Optimization of Semiconductors for Solar Cells

Jörg Risius, Günter Seidelmann; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:469-475

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A Generalization of the Tetrad Representation Theorem

Glenn Shafer, Alexander Kogan, Peter Spirtes; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:476-487

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Representing and Solving Asymmetric Decision Problems Using Valuation Networks

Prakash P. Shenoy; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:488-494

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Data Representations in Learning

Geetha Srikantan, Sargur N. Srihari; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:495-501

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Control Representation in an EDA Assistant

Robert St. Amant, Paul R. Cohen; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:502-512

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A Hill-Climbing Approach to Construct Near-Optimal Decision Trees

Xiaorong Sun, Steve Y. Chiu, Louis Anthony Cox Jr; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:513-519

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Likelihood-based Causal Inference

Qing Yao, David Tritchler; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:520-530

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Learning from Data by Guiding the Analyst: On the Representation, Use and Creation of Visual Statistical Strategies

Forrest W. Young, David J. Lubinsky; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:531-539

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Index

Doug Fisher, Hans-Joachim Lenz; Pre-proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, PMLR R0:540-541

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