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Machine Learning, Volume 10
Volume 10, 1993
- Thomas G. Dietterich:

Editorial. 5 - Sanjay Bhansali, Mehdi T. Harandi:

Synthesis of UNIX Programs Using Derivational Analogy. 7-55 - R. Scott Cost, Steven Salzberg

:
A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features. 57-78 - Raymond J. Mooney:

Induction Over the Unexplained: Using Overly-General Domain Theories to Aid Concept Learning. 79-110 - Shaul Markovitch, Paul D. Scott:

Information Filtering: Selection Mechanisms in Learning Systems. 113-151 - Cullen Schaffer:

Overfitting Avoidance as Bias. 153-178 - William W. Cohen:

Creating a Memory of Casual Relationships (Book Review). 179-183 - Michael J. Pazzani:

A Reply to Cohen's Book Review of Creating a Memory of Causal Relationships. 185-190 - Ashwin Ram:

Indexing and Elaboration and Refinement: Incremental Learning of Explanatory Cases. 201-248 - Manuela M. Veloso, Jaime G. Carbonell:

Derivational Analogy in Prodigy: Automating Case Acquisition, Storage, and Utilization. 249-278 - Kristian J. Hammond, Timothy M. Converse, Mitchell Marks, Colleen M. Seifert

:
Opportunism and Learning. 279-309 - Christopher C. Owens:

Integrating Feature Extraction and Memory Search. 311-339 - Srinivas Krovvidy, William G. Wee:

Wastewater Treatment Systems from Case-Based Reasoning. 341-363

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