| 1998 | A Case Study in the Use of Theory Revision in Requirements Validation. Thomas Leo McCluskey, Margaret Mary West |
| 1998 | A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization. Michael J. Kearns, Yishay Mansour |
| 1998 | A Learning Rate Analysis of Reinforcement Learning Algorithms in Finite-Horizon. Frédérick Garçia, Seydina M. Ndiaye |
| 1998 | A Neural Network Model for Prognostic Prediction. W. Nick Street |
| 1998 | A Process-Oriented Heuristic for Model Selection. Pedro M. Domingos |
| 1998 | A Randomized ANOVA Procedure for Comparing Performance Curves. Justus H. Piater, Paul R. Cohen, Xiaoqin Zhang, Michael Atighetchi |
| 1998 | A Supra-Classifier Architecture for Scalable Knowledge Reuse. Kurt Dewitt Bollacker, Joydeep Ghosh |
| 1998 | An Analysis of Actor/Critic Algorithms Using Eligibility Traces: Reinforcement Learning with Imperfect Value Function. Hajime Kimura, Shigenobu Kobayashi |
| 1998 | An Analysis of Direct Reinforcement Learning in Non-Markovian Domains. Mark D. Pendrith, Michael McGarity |
| 1998 | An Efficient Boosting Algorithm for Combining Preferences. Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer |
| 1998 | An Experimental Evaluation of Coevolutive Concept Learning. Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bello, Lorenza Saitta |
| 1998 | An Information-Theoretic Definition of Similarity. Dekang Lin |
| 1998 | An Investigation of Transformation-Based Learning in Discourse. Ken Samuel, Sandra Carberry, K. Vijay-Shanker |
| 1998 | Automatic Segmentation of Continuous Trajectories with Invariance to Nonlinear Warpings of Time. Lawrence K. Saul |
| 1998 | Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space. Nello Cristianini, John Shawe-Taylor, Peter Sykacek |
| 1998 | Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting. Nir Friedman, Moisés Goldszmidt, Thomas J. Lee |
| 1998 | Classification Using Phi-Machines and Constructive Function Approximation. Doina Precup, Paul E. Utgoff |
| 1998 | Coevolutionary Learning: A Case Study. Hugues Juillé, Jordan B. Pollack |
| 1998 | Collaborative Filtering Using Weighted Majority Prediction Algorithms. Atsuyoshi Nakamura, Naoki Abe |
| 1998 | Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets. Stephen D. Bay |
| 1998 | Employing EM and Pool-Based Active Learning for Text Classification. Andrew Kachites McCallum, Kamal Nigam |
| 1998 | Evolving Structured Programs with Hierarchical Instructions and Skip Nodes. Rafal Salustowicz, Jürgen Schmidhuber |
| 1998 | Feature Selection via Concave Minimization and Support Vector Machines. Paul S. Bradley, Olvi L. Mangasarian |
| 1998 | Finite-Time Regret Bounds for the Multiarmed Bandit Problem. Nicolò Cesa-Bianchi, Paul Fischer |
| 1998 | Generating Accurate Rule Sets Without Global Optimization. Eibe Frank, Ian H. Witten |
| 1998 | Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach. Ricardo Aler, Daniel Borrajo, Pedro Isasi |
| 1998 | Heading in the Right Direction. Hagit Shatkay, Leslie Pack Kaelbling |
| 1998 | Improving Text Classification by Shrinkage in a Hierarchy of Classes. Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell, Andrew Y. Ng |
| 1998 | Intra-Option Learning about Temporally Abstract Actions. Richard S. Sutton, Doina Precup, Satinder Singh |
| 1998 | KnightCap: A Chess Programm That Learns by Combining TD(lambda) with Game-Tree Search. Jonathan Baxter, Andrew Tridgell, Lex Weaver |
| 1998 | Learning Collaborative Information Filters. Daniel Billsus, Michael J. Pazzani |
| 1998 | Learning First-Order Acyclic Horn Programs from Entailment. Chandra Reddy, Prasad Tadepalli |
| 1998 | Learning Sorting and Decision Trees with POMDPs. Blai Bonet, Hector Geffner |
| 1998 | Learning a Language-Independent Representation for Terms from a Partially Aligned Corpus. Michael L. Littman, Fan Jiang, Greg A. Keim |
| 1998 | Learning the Grammar of Dance. Joshua M. Stuart, Elizabeth Bradley |
| 1998 | Learning to Drive a Bicycle Using Reinforcement Learning and Shaping. Jette Randløv, Preben Alstrøm |
| 1998 | Learning to Locate an Object in 3D Space from a Sequence of Camera Images. Dimitris Margaritis, Sebastian Thrun |
| 1998 | Local Cascade Generalization. João Gama |
| 1998 | Multi-criteria Reinforcement Learning. Zoltán Gábor, Zsolt Kalmár, Csaba Szepesvári |
| 1998 | Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm. Junling Hu, Michael P. Wellman |
| 1998 | Multiple-Instance Learning for Natural Scene Classification. Oded Maron, Aparna Lakshmi Ratan |
| 1998 | Multistrategy Learning for Information Extraction. Dayne Freitag |
| 1998 | Near-Optimal Reinforcement Learning in Polynominal Time. Michael J. Kearns, Satinder Singh |
| 1998 | On Feature Selection: Learning with Exponentially Many Irrelevant Features as Training Examples. Andrew Y. Ng |
| 1998 | On the Power of Decision Lists. Richard Nock, Pascal Jappy |
| 1998 | Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), Madison, Wisconsin, USA, July 24-27, 1998 Jude W. Shavlik |
| 1998 | Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee |
| 1998 | Query Learning Strategies Using Boosting and Bagging. Naoki Abe, Hiroshi Mamitsuka |
| 1998 | RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning. Malcolm R. K. Ryan, Mark D. Pendrith |
| 1998 | Refining Initial Points for K-Means Clustering. Paul S. Bradley, Usama M. Fayyad |
| 1998 | Relational Reinforcement Learning. Saso Dzeroski, Luc De Raedt, Hendrik Blockeel |
| 1998 | Ridge Regression Learning Algorithm in Dual Variables. Craig Saunders, Alexander Gammerman, Volodya Vovk |
| 1998 | Solving a Huge Number of Similar Tasks: A Combination of Multi-Task Learning and a Hierarchical Bayesian Approach. Tom Heskes |
| 1998 | Stochastic Resonance with Adaptive Fuzzy Systems. Sanya Mitaim, Bart Kosko |
| 1998 | Structural Machine Learning with Galois Lattice and Graphs. Michel Liquiere, Jean Sallantin |
| 1998 | Teaching an Agent to Test Students. Gheorghe Tecuci, Harry Keeling |
| 1998 | The Case against Accuracy Estimation for Comparing Induction Algorithms. Foster J. Provost, Tom Fawcett, Ron Kohavi |
| 1998 | The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines. Thilo-Thomas Frieß, Nello Cristianini, Colin Campbell |
| 1998 | The MAXQ Method for Hierarchical Reinforcement Learning. Thomas G. Dietterich |
| 1998 | The Problem with Noise and Small Disjuncts. Gary M. Weiss, Haym Hirsh |
| 1998 | Theory Refinement of Bayesian Networks with Hidden Variables. Sowmya Ramachandran, Raymond J. Mooney |
| 1998 | Top-Down Induction of Clustering Trees. Hendrik Blockeel, Luc De Raedt, Jan Ramon |
| 1998 | Using Eligibility Traces to Find the Best Memoryless Policy in Partially Observable Markov Decision Processes. John Loch, Satinder Singh |
| 1998 | Using Learning for Approximation in Stochastic Processes. Daphne Koller, Raya Fratkina |
| 1998 | Using a Permutation Test for Attribute Selection in Decision Trees. Eibe Frank, Ian H. Witten |
| 1998 | Value Function Based Production Scheduling. Jeff G. Schneider, Justin A. Boyan, Andrew W. Moore |
| 1998 | Well-Behaved Borgs, Bolos, and Berserkers. Diana F. Gordon |