Yasubumi Sakakibara Noise-Tolerant Occam Algorithms and Their Applications to Learning Decision Trees. [Citation Graph (0, 0)][DBLP] Machine Learning, 1993, v:11, n:, pp:37-62 [Journal]
Robert C. Holte Very Simple Classification Rules Perform Well on Most Commonly Used Datasets. [Citation Graph (0, 0)][DBLP] Machine Learning, 1993, v:11, n:, pp:63-91 [Journal]
Ryszard S. Michalski Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning. [Citation Graph (1, 0)][DBLP] Machine Learning, 1993, v:11, n:, pp:111-151 [Journal]
Michael J. Pazzani Learning Causal Patterns: Making a Transition from Data-Driven to Theory-Driven Learning. [Citation Graph (0, 0)][DBLP] Machine Learning, 1993, v:11, n:, pp:173-194 [Journal]
Richard Maclin, Jude W. Shavlik Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding. [Citation Graph (0, 0)][DBLP] Machine Learning, 1993, v:11, n:, pp:195-215 [Journal]
Gheorghe Tecuci Plausible Justification Trees: A Framework for Deep and Dynamic Integration of Learning Strategies. [Citation Graph (0, 0)][DBLP] Machine Learning, 1993, v:11, n:, pp:237-261 [Journal]
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