AISTATS 1995

63 papers

A Causal Calculus for Statistical Research Judea Pearl

A Comparative Evaluation of Sequential Feature Selection Algorithms David W. Aha, Richard L. Bankert

A Decision-Based View of Causality David Heckerman, Ross Schachter

A Further Comparison of Pruning Methods in Decision-Tree Induction Floriana Esposito, Donato Malerba, Giovanni Semeraro

A Generalization of the Tetrad Representation Theorem Glenn Shafer, Alexander Kogan, Peter Spirtes

A Hill-Climbing Approach to Construct Near-Optimal Decision Trees Xiaorong Sun, Steve Y. Chiu, Louis Anthony Cox

Abductive Reasoning in Bayesian Belief Networks Using a Genetic Algorithm E. S. Gelsema

An Axiomatization of Loglinear Models with an Application to the Model-Search Problem Francesco M. Malvestuto

An Exact Probability Metric for Decision Tree Splitting and Stopping J. Kent Martin

Analysis and Application of the Generalized Mean-Shift Process Yizong Cheng

Causal Discovery from Data in the Presence of Selection Bias Gregory F. Cooper

Classifying New Words for Robust Parsing Alexander Franz

Combining Statistics and AI in the Optimization of Semiconductors for Solar Cells Jörg Risius, Günter Seidelmann

Comparing the Prediction Accuracy of Statistical Models and Artificial Neural Networks in Breast Cancer Harry B. Burke, David B. Rosen, Philip H. Goodman

Control Representation in an EDA Assistant Robert St. Amant, Paul R. Cohen

Data Representations in Learning Geetha Srikantan, Sargur N. Srihari

Decision-Theoretic Case-Based Reasoning John S. Breese, David Heckerman

Detecting Complex Dependencies in Categorical Data Tim Oates, Dawn E. Gregory, Paul R. Cohen

Detecting Imperfect Patterns in Event Streams Using Local Search Adele E. Howe

Discovering Morphemic Suffixes a Case Study in MDL Induction Michael R. Brent, Sreerama K. Murthy, Andrew Lundberg

Dynamical Learning Bias Selection Christopher J. Merz

Evaluating and Comparing Classifiers: Complexity Measures J. Kent Martin

Framework for a Generic Knowledge Discovery Toolkit Pat Riddle, Roman Fresnedo, David Newman

Heuristic Search for Model Structure John F. Elder

Hierarchical Clustering of Composite Objects with a Variable Number of Components Alain Ketterlin, Pierre Gançarski, Jerzy J. Korczak

Hypergraph Grammars for Knowledge Based Model Construction Russell G. Almond

Index Doug Fisher, Hans-Joachim Lenz

Learning Bayesian Networks Using Feature Selection Gregory M. Provan, Moninder Singh

Learning Bayesian Networks: Search Methods and Experimental Results David Maxwell Chickering, Dan Geiger, David Heckerman

Learning from Data by Guiding the Analyst: On the Representation, Use and Creation of Visual Statistical Strategies Forrest W. Young, David J. Lubinsky

Learning in Hybrid Noise Environments Using Statistical Queries Scott Evan Decatur

Learning Multiple Relational Rule-Based Models Kamal M. Ali, Clifford Brunk, Michael J. Pazzani

Learning Possibilistic Networks from Data Jörg Gebhardt, Rudolf Kruse

Likelihood-Based Causal Inference Qing Yao, David Tritchler

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

Missing Data Models as Meta-Data Russell G. Almond, James Schimert

Modeling Life Time Data by Neural Networks Young B. Moon, Hyune-Ju Kim

Non-Linear Dimensionality Reduction: A Comparative Performance Analysis Olivier Y. Vel, Sofianto Li, Danny Coomans

Omega-Stat: An Environment for Implementing Intelligent Modeling Strategies E. James Harner, Hanga C. Galfalvy

On Graphical Models for Dynamic Systems Alberto Lekuona, Beatriz Lacruz, Pilar Lasala

On Test Selection Strategies for Belief Networks David Madigan, Russell G. Almond

Part-of-Speech Tagging from "Small" Data Sets Eric Neufeld, Greg Adams, Henry Choy, Ron Orthner, Tim Philip, Ahmed Tawfik

Picking the Best Expert from a Sequence Ruth Bergman, Ronald L. Rivest

Ploxoma: Testbed for Uncertain Inference Hannah Blau

Predicting Stock Returns with Genetic Programming: Do the Short-Term Nonlinear Regularities Exist? Shu-Heng Chen, Chia-Hsuan Yeh

Propagation of Gaussian Belief Functions Liping Liu

Representing and Solving Asymmetric Decision Problems Using Valuation Networks Prakash P. Shenoy

Robust Linear Discriminant Trees George H. John

Searching for Dependencies in Bayesian Classifiers Michael J. Pazzani

Software for Data Analysis with Graphical Models Wray L. Buntine, H. Scott Roy

Solving Influence Diagrams Using Gibbs Sampling Ali Jenzarli

Statistical Preprocessing for Decision Tree Induction Sreerama K. Murthy

Structure Learning of Bayesian Networks by Hybrid Genetic Algorithms Pedro Larrañaga, Roberto H. Murga, Mikel Poza, Cindy M. H. Kuijpers

Tailoring Rulesets to Misclassification Costs Jason Catlett

Textual Data Mining Sally Jo Cunningham

Tools for Empirically Analyzing AI Programs Scott D. Anderson, David M. Hart, David L. Westbrook, Paul R. Cohen, Adam Carlson

Tree Structured Interpretable Regression David Lubinsky

Truncated Gaussians as Tolerance Sets Fabio Cozman, Eric Krotkov

Two Algorithms for Inducing Structural Equation Models from Data Paul R. Cohen, Dawn E. Gregory, Lisa Ballesteros, Robert St. Amant

Two Applications of Statistical Modelling to Natural Language Processing William Du Mouchel, Carol Friedman, George Hripcsak, Stephen B. Johnson, Paul D. Clayton

Using Causal Knowledge to Learn More Useful Decision Rules from Data Louis Anthony Cox

Viewpoint-Based Measurement of Semantic Similarity Between Words Kaname Kasahara, Kazumitsu Matsuzawa, Tsutomu Ishikawa, Tsukasa Kawaoka

Which Method Learns Most from the Data? Methodological Issues in the Analysis of Comparative Studies A. J. Feelders, W. J. H. Verkooijen