Inferential theory of learning as a conceptual basis for multistrategy learning Ryszard S. Michalski OriginalPaper Pages: 111 - 151
Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning Ryszard S. Michalski OriginalPaper Pages: 111 - 151
Multistrategy learning and theory revision Lorenza SaittaMarco BottaFilippo Neri OriginalPaper Pages: 153 - 172
Multistrategy Learning and Theory Revision Lorenza SaittaMarco BottaFilippo Neri OriginalPaper Pages: 153 - 172
Learning causal patterns: Making a transition from data-driven to theory-driven learning Michael Pazzani OriginalPaper Pages: 173 - 194
Learning Causal Patterns: Making a Transition from Data-Driven to Theory-Driven Learning Michael Pazzani OriginalPaper Pages: 173 - 194
Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou–Fasman Algorithm for Protein Folding Richard MaclinJude W. Shavlik OriginalPaper Pages: 195 - 215
Using knowledge-based neural networks to improve algorithms: Refining the Chou-Fasman algorithm for protein folding Richard MaclinJude W. Shavlik OriginalPaper Pages: 195 - 215
Plausible Justification Trees: A Framework for Deep and Dynamic Integration of Learning Strategies Gheorghe Tecuci OriginalPaper Pages: 237 - 261
Plausible justification trees: A framework for deep and dynamic integration of learning strategies Gheorghe Tecuci OriginalPaper Pages: 237 - 261