|
|
Machine Learning: An Annotated Bibliography for the 1995 AI & . . .
– David W. Aha
- 1995
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7
|
Constructing New Attributes for Decision Tree Learning
– Zijian Zheng
- 1996
|
|
6
|
Learning from Imperfect Data
– Pavel Brazdil , Peter Clark
- 1990
|
|
897
|
Instance-based learning algorithms
– David W. Aha, Dennis Kibler, Marc K. Albert
- 1991
|
|
2
|
A Comparison of Rule and Exemplar-Based Learning Systems
– Peter Clark
- 1988
|
|
3
|
Machine Learning: Techniques and Recent Developments
– Peter Clark
- 1990
|
|
11
|
Instance-Based Learning: Nearest Neighbour with Generalisation
– Brent Martin
- 1995
|
|
1
|
Paradigms for Machine Learning
– Jeffrey C. Schlimmer, Pat Langley
- 1991
|
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77
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A Theory of Learning Classification Rules
– Wray Lindsay Buntine
- 1992
|
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10
|
Pruning decision trees and lists
– Eibe Frank
- 2000
|
|
7
|
Exemplar-Based Reasoning in Geological Prospect Appraisal
– Peter Clark
- 1989
|
|
4
|
Case-Based Classification Using Similarity-Based Retrieval
– Igor Jurisica, Janice Glasgow
- 1996
|
|
2
|
Improving Performance Of Case-Based Classification Using Context-Based Relevance
– Igor Jurisica, Janice Glasgow
- 1997
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43
|
Learning Two-Tiered Descriptions of Flexible Concepts: The Poseidon Systems
– F. Bergadano, S. Matwin, R. S. Michalski, J. Zhang
- 1992
|
|
291
|
Rule Induction with CN2: Some Recent Improvements
– Peter Clark, Robin Boswell
- 1991
|
|
1
|
Instance-Based Prototypical Learning of Set Valued Attributes
– Terry R. Payne
- 1995
|
|
101
|
Concept Learning and Heuristic Classification in Weak-Theory Domains
– Bruce W. Porter, Ray Bareiss, Robert C. Holte
- 1990
|
|
51
|
Learning from Examples: Generation and Evaluation of Decision Trees for Software Resource Analysis
– Richard W. Selby, Adam A. Porter
- 1988
|
|
54
|
Context-Sensitive Feature Selection for Lazy Learners
– Pedro Domingos
- 1997
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