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ORCID5th AISTATS 1995: Fort Lauderdale, Florida, USA
- Doug Fisher, Hans-Joachim Lenz:
Learning from Data - Fifth International Workshop on Artificial Intelligence and Statistics, AISTATS 1995, Key West, Florida, USA, January 4-7, 1995. Proceedings. Springer 1996, ISBN 978-0-387-94736-5
Causality
- Paul R. Cohen, Dawn E. Gregory, Lisa Ballesteros, Robert St. Amant:
Two Algorithms for Inducing Structural Equation Models from Data. 3-12 - Louis Anthony Cox Jr.:
Using Causal Knowledge to Learn More Useful Decision Rules From Data. 13-22 - Judea Pearl:
A Causal Calculus for Statistical Research. 23-33 - Qing Yao, David Tritchler:
Likelihood-based Causal Inference. 35-44
Inference and Decision Making
- Hannah Blau:
Ploxoma: Testbed for Uncertain Inference. 47-57 - Ali Jenzarli:
Solving Influence Diagrams Using Gibbs Sampling. 59-68 - Alberto Lekuona, Beatriz Lacruz
, Pilar Lasala:
Modeling and Monitoring Dynamic Systems by Chain Graphs. 69-77 - Liping Liu:
Propagation of Gaussian belief functions. 79-88 - David Madigan, Russell G. Almond:
On Test Selection Strategies for Belief Networks. 89-98 - Prakash P. Shenoy:
Representing and Solving Asymmetric Decision Problems Using Valuation Networks. 99-108 - Xiaorong Sun, Steve Y. Chiu, Louis Anthony Cox Jr.:
A Hill-Climbing Approach for Optimizing Classification Trees. 109-117
Search Control in Model Hunting
- David Maxwell Chickering:
Learning Bayesian Networks is NP-Complete. 121-130 - John F. Elder IV:
Heuristic Search for Model Structure: the Benefits of Restraining Greed. 131-142 - Jörg Gebhardt, Rudolf Kruse:
Learning Possibilistic Networks from Data. 143-153 - Adele E. Howe:
Detecting Imperfect Patterns in Event Streams Using Local Search. 155-164 - Pedro Larrañaga, Roberto H. Murga, Mikel Poza, Cindy M. H. Kuijpers:
Structure Learning of Bayesian Networks by Hybrid Genetic Algorithms. 165-174 - Francesco M. Malvestuto:
An Axiomatization of Loglinear Models with an Application to the Model-Search Problem. 175-184 - Tim Oates, Matthew D. Schmill, Dawn E. Gregory, Paul R. Cohen:
Detecting Complex Dependencies in Categorical Data. 185-195
Classification
- David W. Aha, Richard L. Bankert:
A Comparative Evaluation of Sequential Feature Selection Algorithms. 199-206 - Kamal M. Ali, Michael J. Pazzani:
Classification Using Bayes Averaging of Multiple, Relational Rule-based Models. 207-217 - Ruth Bergman, Ronald L. Rivest:
Picking the Best Expert from a Sequence. 219-227 - Alain Ketterlin, Pierre Gançarski, Jerzy J. Korczak:
Hierarchical Clustering of Composite Objects with a Variable Number of Components. 229-238 - Michael J. Pazzani:
Searching for Dependencies in Bayesian Classifiers. 239-248
General Learning Issues
- Harry B. Burke:
Statistical Analysis of Complex Systems in Biomedicine. 251-258 - Scott E. Decatur:
Learning in Hybrid Noise Environments Using Statistical Queries. 259-270 - A. J. Feelders, W. J. H. Verkooijen:
On the Statistical Comparison of Inductive Learning Methods. 271-279 - Christopher J. Merz:
Dynamical Selection of Learning Algorithms. 281-290 - Gregory M. Provan, Moninder Singh:
Learning Bayesian Networks Using Feature Selection. 291-300 - Geetha Srikantan, Sargur N. Srihari:
Data Representations in Learning. 301-310
EDA: Tools and Methods
- Jason Catlett:
Rule Induction as Exploratory Data Analysis. 313-322 - Olivier Y. de Vel, Sofianto Li, Danny Coomans:
Non-Linear Dimensionality Reduction: A Comparative Performance Analysis. 323-331 - E. James Harner, Hanga C. Galfalvy:
Omega-Stat: An Environment for Implementing Intelligent Modeling Strategies. 333-342 - Patricia J. Riddle, Roman Fresnedo, David Newman:
Framework for a Generic Knowledge Discovery Toolkit. 343-352 - Robert St. Amant, Paul R. Cohen:
Control Representation in an EDA Assistant. 353-362
Decision and Regression Tree Induction
- Donato Malerba, Floriana Esposito, Giovanni Semeraro:
A Further Comparison of Simplification Methods for Decision-Tree Induction. 365-374 - George H. John:
Robust Linear Discriminant Trees. 375-385 - David Lubinsky:
Tree Structured Interpretable Regression. 387-398 - J. Kent Martin:
An Exact Probability Metric for Decision Tree Splitting. 399-410
Natural Language Processing
- William DuMouchel, Carol Friedman, George Hripcsak, Stephen B. Johnson, Paul D. Clayton:
Two Applications of Statistical Modelling to Natural Language Processing. 413-421 - Alexander Franz:
A Model for Part-of-Speech Prediction. 423-432 - Kaname Kasahara, Kazumitsu Matsuzawa, Tsutomu Ishikawa, Tsukasa Kawaoka:
Viewpoint-Based Measurement of Semantic Similarity between Words. 433-442 - Eric Neufeld, Greg Adams:
Part-of-Speech Tagging from "Small" Data Sets. 443-450
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