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ORCIDMachine Learning, Volume 6
Volume 6, 1991
- Jaime G. Carbonell:
Editorial. 5 - Roberto Gemello, Franco Mana, Lorenza Saitta:
Rigel: An Inductive Learning System. 7-35 - David W. Aha, Dennis F. Kibler, Marc K. Albert:
Instance-Based Learning Algorithms. 37-66 - Igor Kononenko, Ivan Bratko:
Information-Based Evaluation Criterion for Classifier's Performance. 67-80 - Ramón López de Mántaras:
A Distance-Based Attribute Selection Measure for Decision Tree Induction. 81-92 - J. Ross Quinlan:
Improved Estimates for the Accuracy of Small Disjuncts. 93-98 - Yoram Reich
:
Exemplar-Based Knowledge Acquisition. 99-103 - Ray Bareiss:
A Reply to Reich's Book Review of Exemplar-Based Knowledge Acquisition. 105-106 - Jude W. Shavlik, Raymond J. Mooney, Geoffrey G. Towell:
Symbolic and Neural Learning Algorithms: An Experimental Comparison. 111-143 - Philip D. Laird, Evan Gamble:
A 'PAC' Algorithm for Making Feature Maps. 145-160 - Peter W. Frey, David J. Slate:
Letter Recognition Using Holland-Style Adaptive Classifiers. 161-182 - Alberto M. Segre, Charles Elkan, Alexander Russell:
A Critical Look at Experimental Evaluations of EBL. 183-195 - Roland Zito-Wolf:
Book Review. Mach. Learn. 6: 197-204 (1991) - Steven Minton:
A Reply to Zito-Wolf's Book Review of Learning Search Control Knowledge: An Explanation-Based Approach. Mach. Learn. 6: 205-206 (1991) - Jyh-Han Lin, Jeffrey Scott Vitter:
Complexity Results on Learning by Neural Nets. 211-230 - Marlon Núñez:
The Use of Background Knowledge in Decision Tree Induction. 231-250 - Steven Salzberg:
A Nearest Hyperrectangle Learning Method. 251-276 - Sakir Kocabas:
Conflict Resolution as Discovery in Particle Physics. 277-309
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