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13. Machine Intelligence 1994
Historical Perspectives
Inductive Inference
Hiroki Arimura, Takeshi Shinohara, Setsuko Otsuki, Hiroki Ishizaka:
A Generalization of the Least General Generalization. Machine Intelligence 13 1994: 59-85- Ashwin Srinivasan, Stephen Muggleton, Michael Bain:
The Justification of Logical Theories based on Data Compression. Machine Intelligence 13 1994: 87-121 - Ken'ichi Handa, Mikiko Nishikimi, Hitoshi Matsubara:
Utilizing Structure Information in Concept Formation. Machine Intelligence 13 1994: 123-142 - Hiroshi Tsukimoto, Chie Morita:
The Discovery of Propositions in Noisy Data. Machine Intelligence 13 1994: 143-167 - Takashi Yokomori:
Learning non-deterministic finite automata from queries and counterexamples. Machine Intelligence 13 1994: 169-189
Scientific Domains
- Michael J. E. Sternberg, R. A. Lewis, Ross D. King, Stephen Muggleton:
Machine Learning and biomolecular modelling. Machine Intelligence 13 1994: 193-212 - E. J. Kehoe:
More than meets the eye: animal learning and knowledge induction. Machine Intelligence 13 1994: 213-246
Experimental Machine Learning
- Michael Bain, Stephen Muggleton:
Learning optimal chess strategies. Machine Intelligence 13 1994: 291-309 - Ross D. King, Bob Henery, Cao Feng, A. Sutherland:
A Comparative Study of Classification Algorithms: Statistical, Machine Learning and Neural Network. Machine Intelligence 13 1994: 311-359
Learning Control
- Donald Michie, Rui Camacho:
Building symbolic representations of intuitive real-time skills from performance data. Machine Intelligence 13 1994: 385-418 - Masaki Suwa, Hiroshi Motoda:
Learning Perceptually Chunked Macro Operators. Machine Intelligence 13 1994: 419-440 - Masayuki Numao, T. Maruoka, Masamichi Shimura:
Inductively Speeding Up Logic Programs. Machine Intelligence 13 1994: 441-458
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last updated on 2015-03-06 02:57 CET by the dblp team