Machine Learning, Volume 19, 1995

Volume 19, Number 1, 1995

• Dietrich Wettschereck, Thomas G. Dietterich: An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms. 5-27
• Arie Ben-David: Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms. 29-43
• Carla E. Brodley, Paul E. Utgoff: Multivariate Decision Trees. 45-77
• Raymond J. Mooney: Encouraging Experimental Results on Learning CNF. 79-92

Volume 19, Number 2, 1995

• Bradley L. Richards, Raymond J. Mooney: Automated Refinement of First-Order Horn-Clause Domain Theories. 95-131
• Patrick Suppes, Michael Böttner, Lin Liang: Comprehension Grammars Generated from Machine Learning of Natural Languages. 133-152
• Takashi Yokomori: On Polynomial-Time Learnability in the Limit of Strictly Deterministic Automata. 153-179

Volume 19, Number 3, 1995

• Howard Aizenstein, Leonard Pitt: On The Learnability Of Disjunctive Normal Form Formulas. 183-208
• Marco Dorigo: Alecsys and the AutonoMouse: Learning to Control a Real Robot by Distributed Classifier Systems. 209-240
• Ronny Meir, Neri Merhav: On the Stochastic Complexity of Learning Realizable and Unrealizable Rules. 241-261