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ORCIDMachine Learning, Volume 12
Volume 12, 1993
- Jan M. Zytkow:
Introduction: Cognitive Autonomy in Machine Discovery. 7-16 - Bernd Nordhausen, Pat Langley:
An Integrated Framework for Empirical Discovery. 17-47 - Paul D. Scott, Shaul Markovitch:
Experience Selection and Problem Choice in an Exploratory Learning System. 49-67 - Aleksandar Milosavljevic, Jerzy Jurka:
Discovery by Minimal Length Encoding: A Case Study in Molecular Evolution. 69-87 - Peter D. Karp:
Design Methods for Scientific Hypothesis Formation and Their Application to Molecular Biology. 89-116 - Armand Prieditis:
Machine Discovery of Effective Admissible Heuristics. 117-141 - Wei-Min Shen:
Discovery as Autonomous Learning from the Environment. 143-165 - Cullen Schaffer:
Bivariate Scientific Function Finding in a Sampled, Real-Data Testbed. 167-183 - Shankar A. Rajamoney:
The Design of Discrimination Experiments. 185-203
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