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