Introduction
Introduction
Using genetic algorithms for concept learning
Using Genetic Algorithms for Concept Learning
A knowledge-intensive genetic algorithm for supervised learning
A Knowledge-Intensive Genetic Algorithm for Supervised Learning
Competition-Based Induction of Decision Models from Examples
Competition-based induction of decision models from examples
Genetic reinforcement learning for neurocontrol problems
Genetic Reinforcement Learning for Neurocontrol Problems
What Makes a Problem Hard for a Genetic Algorithm? Some Anomalous Results and Their Explanation
What makes a problem hard for a genetic algorithm? Some anomalous results and their explanation
Cost-Sensitive Learning of Classification Knowledge and Its Applications in Robotics
Publisher's note
Cost-sensitive learning of classification knowledge and its applications in robotics
Explanation-Based Learning for Diagnosis
Explanation-based learning for diagnosis
Extracting Refined Rules from Knowledge-Based Neural Networks
Extracting refined rules from knowledge-based neural networks
Prioritized Sweeping: Reinforcement Learning with Less Data and Less Time
Prioritized sweeping: Reinforcement learning with less data and less time
Research Note on Decision Lists
Research note on decision lists
Technical Note: Selecting a Classification Method by Cross-Validation
Selecting a classification method by cross-validation
Book Review Machine Learning: A Theoretical Approach by Balas K. Natarajan. Morgan Kaufmann Publishers, Inc., 1991
Machine learning: A theoretical approach by Balas K. Natarajan. Morgan Kaufmann Publishers, Inc., 1991
A Reply to Hellerstein's Book Review of Machine Learning: A Theoretical Approach
A reply to Hellerstein's book review of Machine Learning: A Theoretical Approach
Announcement
Discovery by minimal length encoding: A case study in molecular evolution
