Guest Editors' Introduction
LEARNABLE EVOLUTION MODEL: Evolutionary Processes Guided by Machine Learning
Resource-bounded Relational Reasoning: Induction and Deduction Through Stochastic Matching
Strategies in Combined Learning via Logic Programs
Feature Selection vs Theory Reformulation: A Study of Genetic Refinement of Knowledge-based Neural Networks
Refining Numerical Constants in First Order Logic Theories
Multistrategy Theory Revision: Induction and Abduction in INTHELEX
Multistrategy Discovery and Detection of Novice Programmer Errors
Multi Level Knowledge in Modeling Qualitative Physics Learning
A Multistrategy Approach to Classifier Learning from Time Series
Improved Generalization Through Explicit Optimization of Margins
Reduction Techniques for Instance-Based Learning Algorithms
Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms
Multiple Comparisons in Induction Algorithms