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ORCID14th ICML 1997: Nashville, TN, USA
- Douglas H. Fisher:
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), Nashville, Tennessee, USA, July 8-12, 1997. Morgan Kaufmann 1997, ISBN 1-55860-486-3 - Lars Asker, Richard Maclin:
Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection. ICML 1997: 3-11 - Christopher G. Atkeson, Stefan Schaal:
Robot Learning From Demonstration. ICML 1997: 12-20 - Peter Auer:
On Learning From Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach. ICML 1997: 21-29 - Shumeet Baluja, Scott Davies:
Using Optimal Dependency-Trees for Combinational Optimization. ICML 1997: 30-38 - Jonathan Baxter:
The Canonical Distortion Measure for Vector Quantization and Function Approximation. ICML 1997: 39-47 - Marco Botta, Attilio Giordana, Roberto Piola:
FONN: Combining First Order Logic with Connectionist Learning. ICML 1997: 46-56 - Claire Cardie, Nicholas Nowe:
Improving Minority Class Prediction Using Case-Specific Feature Weights. ICML 1997: 57-65 - William W. Cohen, Premkumar T. Devanbu:
A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction. ICML 1997: 66-74 - Piew Datta, Dennis F. Kibler:
Learning Symbolic Prototypes. ICML 1997: 75-82 - Scott E. Decatur:
PAC Learning with Constant-Partition Classification Noise and Applications to Decision Tree Induction. ICML 1997: 83-91 - Mark Devaney, Ashwin Ram:
Efficient Feature Selection in Conceptual Clustering. ICML 1997: 92-97 - Pedro M. Domingos:
Knowledge Acquisition form Examples Vis Multiple Models. ICML 1997: 98-106 - Harris Drucker:
Improving Regressors using Boosting Techniques. ICML 1997: 107-115 - Claude-Nicolas Fiechter:
Expected Mistake Bound Model for On-Line Reinforcement Learning. ICML 1997: 116-124 - Nir Friedman:
Learning Belief Networks in the Presence of Missing Values and Hidden Variables. ICML 1997: 125-133 - João Gama:
Probabilistic Linear Tree. ICML 1997: 134-142 - Thorsten Joachims:
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization. ICML 1997: 143-151 - Hajime Kimura, Kazuteru Miyazaki, Shigenobu Kobayashi:
Reinforcement Learning in POMDPs with Function Approximation. ICML 1997: 152-160 - Ron Kohavi, Clayton Kunz:
Option Decision Trees with Majority Votes. ICML 1997: 161-169 - Daphne Koller, Mehran Sahami:
Hierarchically Classifying Documents Using Very Few Words. ICML 1997: 170-178 - Miroslav Kubat, Stan Matwin:
Addressing the Curse of Imbalanced Training Sets: One-Sided Selection. ICML 1997: 179-186 - Lidia Mangu, Eric Brill:
Automatic Rule Acquisition for Spelling Correction. ICML 1997: 187-194 - Yishay Mansour:
Pessimistic decision tree pruning based Continuous-time. ICML 1997: 202-210 - Dragos D. Margineantu, Thomas G. Dietterich:
Pruning Adaptive Boosting. ICML 1997: 211-218 - Eddy Mayoraz, Miguel Moreira:
On the Decomposition of Polychotomies into Dichotomies. ICML 1997: 219-226 - Filippo Menczer:
ARCCHNID: Adaptive Retrieval Agents Choosing Heuristic Neighborhoods. ICML 1997: 227-235 - Andrew W. Moore, Jeff G. Schneider, Kan Deng:
Efficient Locally Weighted Polynomial Regression Predictions. ICML 1997: 236-244 - Andrew Y. Ng:
Preventing "Overfitting" of Cross-Validation Data. ICML 1997: 245-253 - Tim Oates, David D. Jensen:
The Effects of Training Set Size on Decision Tree Complexity. ICML 1997: 254-262 - David W. Opitz:
The Effective Size of a Neural Network: A Principal Component Approach. ICML 1997: 263-271 - Doina Precup, Richard S. Sutton:
Exponentiated Gradient Methods for Reinforcement Learning. ICML 1997: 272-277 - Chandra Reddy, Prasad Tadepalli:
Learning Goal-Decomposition Rules using Exercises. ICML 1997: 278-286 - Eric Sven Ristad, Peter N. Yianilos:
Learning String Edit Distance. ICML 1997: 287-295 - Marko Robnik-Sikonja, Igor Kononenko:
An adaptation of Relief for attribute estimation in regression. ICML 1997: 296-304 - Majd F. Sakr, Steven P. Levitan, Donald M. Chiarulli, Bill G. Horne, C. Lee Giles:
Predicting Multiprocessor Memory Access Patterns with Learning Models. ICML 1997: 305-312 - Robert E. Schapire:
Using output codes to boost multiclass learning problems. ICML 1997: 313-321 - Robert E. Schapire, Yoav Freund, Peter Barlett, Wee Sun Lee:
Boosting the margin: A new explanation for the effectiveness of voting methods. ICML 1997: 322-330 - Tobias Scheffer, Russell Greiner, Christian Darken:
Why Experimentation can be better than "Perfect Guidance". ICML 1997: 331-339 - Dale Schuurmans, Lyle H. Ungar, Dean P. Foster:
Characterizing the generalization performance of model selection strategies. ICML 1997: 340-348 - Nobuo Suematsu, Akira Hayashi, Shigang Li:
A Bayesian Approach to Model Learning in Non-Markovian Environments. ICML 1997: 349-357 - Prasad Tadepalli, Thomas G. Dietterich:
Hierarchical Explanation-Based Reinforcement Learning. ICML 1997: 358-366 - Kai Ming Ting, Ian H. Witten:
Stacking Bagged and Dagged Models. ICML 1997: 367-375 - Ljupco Todorovski, Saso Dzeroski:
Declarative Bias in Equation Discovery. ICML 1997: 376-384 - Luís Torgo:
Functional Models for Regression Tree Leaves. ICML 1997: 385-393 - Ricardo Vilalta, Larry A. Rendell:
Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction. ICML 1997: 394-402 - D. Randall Wilson, Tony R. Martinez:
Instance Pruning Techniques. ICML 1997: 403-411 - Yiming Yang, Jan O. Pedersen:
A Comparative Study on Feature Selection in Text Categorization. ICML 1997: 412-420 - Blaz Zupan, Marko Bohanec, Ivan Bratko, Janez Demsar:
Machine Learning by Function Decomposition. ICML 1997: 421-429
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