Guest Editorial
Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments
Concept Formation During Interactive Theory Revision
A Polynomial Approach to the Constructive Induction of Structural Knowledge
Flattening and Saturation: Two Representation Changes for Generalization
Explicit Representation of Concept Negation
Foreword
Foreword
Randomly Fallible Teachers: Learning Monotone DNF with an Incomplete Membership Oracle
Randomly fallible teachers: Learning monotone DNF with an incomplete membership oracle
Tracking Drifting Concepts By Minimizing Disagreements
Tracking drifting concepts by minimizing disagreements
Learning Probabilistic Read-once Formulas on Product Distributions
Learning probabilistic read-once formulas on product distributions
Bounds on the sample complexity of Bayesian learning using information theory and the VC dimension
Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension
Approximation and estimation bounds for artificial neural networks
Approximation and Estimation Bounds for Artificial Neural Networks
Algorithms and lower bounds for on-line learning of geometrical concepts
Algorithms and Lower Bounds for On-Line Learning of Geometrical Concepts
The Power of Self-Directed Learning
The power of self-directed learning
TD(λ) converges with probability 1
TD(λ) Converges with Probability 1
Introduction to the Abstracts of the Invited Talks Presented at ML92 Conference in Aberdeen, 1–3 July 1992
Introduction to the abstracts of the invited talks presented at ML92 conference in Aberdeen, 1–3 July 1992
Machine learning and qualitative reasoning
Machine Learning and Qualitative Reasoning
Children, Adults, and Machines as Discovery Systems
Children, adults, and machines as discovery systems
Combining Symbolic and Neural Learning
Combining symbolic and neural learning
Statistical Methods for Analyzing Speedup Learning Experiments
Statistical methods for analyzing speedup learning experiments
