5. ML 1988: Ann Arbor, Michigan, USA
John E. Laird (Ed.): Machine Learning, Proceedings of the Fifth International Conference on Machine Learning, Ann Arbor, Michigan, USA, June 12-14, 1988. Morgan Kaufmann 1988 ISBN 0-934613-64-8
Empirical Learning
- Randy Kerber: Using a Generalization Hierarchy to Learn from Examples. 1-7
- Hans Tallis: Tuning Rule-Based Systems to Their Environments. 8-14
- Jakub Segen: Learning Graph Models of Shape. 29-35
- Kent A. Spackman: Learning Categorical Decision Criteria in Biomedical Domains. 36-46
- Jakub Segen: Conceptual Clumping of Binary Vectors with Occam's Razor. 47-53
- Peter Cheeseman, James Kelly, Matthew Self, John Stutz, Will Taylor, Don Freeman: AutoClass: A Bayesian Classification System. 54-64
- Klaus P. Gross: Incremental Multiple Concept Learning Using Experiments. 65-72
- Wayne Iba, James Wogulis, Pat Langley: Trading Off Simplicity and Coverage in Incremental concept Learning. 73-79
- Michael Lebowitz: Deferred Commitment in UNIMEM: Waiting to Learn. 80-86
- Jie Cheng, Usama M. Fayyad, Keki B. Irani, Zhaogang Qian: Improved Decision Trees: A Generalized Version of ID3. 100-106
- Paul E. Utgoff: ID5: An Incremental ID3. 107-120
- Ming Tan, Larry J. Eshelman: Using Weighted Networks to Represent Classification Knowledge in Noisy Domains. 121-134
Genetic Learning
- J. Ross Quinlan: An Empirical Comparison of Genetic and Decision-Tree Classifiers. 135-141
- George G. Robertson: Population Size in classifier Systems. 142-152
- Rich Caruana, J. David Schaffer: Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms. 153-161
- Adrian V. Sannier II, Erik D. Goodman: Midgard: A Genetic Approach to Adaptive Load Balancing for Distributed Systems. 174-180
Connectionist Learning
- Edward J. Wisniewski, James A. Anderson: Some Interesting Properties of a Connectionist Inductive Learning System. 181-187
- Kenton J. Lynne: Competitive Reinforcement Learning. 188-199
- Gerald Tesauro: Connectionist Learning of Expert Backgammon Evaluations. 200-206
- Bartlett W. Mel: Building and Using Mental Models in a Sensory-Motor Domain. 207-213
Explanation-Based Learning
- Haym Hirsh: Reasoning about Operationality for Explanation-Based Learning. 214-220
- Sridhar Mahadevan, Prasad Tadepalli: On the Tractability of Learning from Incomplete Theories. 235-241
- Shankar A. Rajamoney, Gerald DeJong: Active Explanation Reduction: An Approach to the Multiple Explanations Problem. 242-255
- William W. Cohen: Generalizing Number and Learning from Multiple Examples in Explanation Based Learning. 256-269
- Raymond J. Mooney: Generalizing the Order of Operators in Macro-Operators. 270-283
Integrated Explanation-Based and Empirical Learning
- Michael J. Pazzani: Integrated Learning with Incorrect and Incomplete Theories. 291-297
- Claudio Carpineto: An Approach Based on Integrated Learning to Generating Stories. 298-304
Case-Based Learning
- Robert S. Williams: Learning to Program by Examining and Modifying Cases. 318-324
Machine Discovery
- Kevin T. Kelly: Theory Discovery and the Hypothesis Language. 325-338
- Stephen Muggleton, Wray L. Buntine: Machine Invention of First Order Predicates by Inverting Resolution. 339-352
- Brian Falkenhainer, Shankar A. Rajamoney: The Interdependencies of Theory Formation, Revision, and Experimentation. 353-366
- Yi-Hua Wu: Reduction: A Practical Mechanism of Searching for Regularity in Data. 374-380
Formal Models of Concept Learning
- Jonathan Amsterdam: Extending the Valiant Learning Model. 381-394
- Nicolas Helft: Learning Systems of First-Order Rules. 395-401
- Oren Etzioni: Hypothesis Filtering: A Practical Approach to Reliable Learning. 416-429
Experimental Results in Machine Learning
- Carl Myers Kadie: Diffy-S: Learning Robot Operator Schemata from Examples. 430-436
- Claude Sammut: Experimental Results from an Evaluation of Algorithms that Learn to Control Dynamic Systems. 437-443
- Michael D. Erickson, Jan M. Zytkow: Utilizing Experience for Improving the Tactical Manager. 444-450
Computational Impact of Learning and Forgetting
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last updated on 2013-06-18T211851 by the dblp team