|
7
|
Constructing New Attributes for Decision Tree Learning
– Zijian Zheng
- 1996
|
|
122
|
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
– Sreerama K. Murthy
- 1997
|
|
10
|
Pruning decision trees and lists
– Eibe Frank
- 2000
|
|
77
|
A Theory of Learning Classification Rules
– Wray Lindsay Buntine
- 1992
|
|
32
|
Simplifying Decision Trees: A Survey
– Leonard A. Breslow, David W. Aha
- 1996
|
|
7
|
Top-Down Induction of Decision Trees Classifiers -- A Survey
– Lior Rokach , Oded Maimon
- 2002
|
|
36
|
On Pruning and Averaging Decision Trees
– Jonathan J. Oliver, David J. Hand
- 1995
|
|
|
Machine Learning: An Annotated Bibliography for the 1995 AI & . . .
– David W. Aha
- 1995
|
|
|
MLnet Summer School on Machine Learning and Knowledge Acquisition: LEARNING AND PROBABILITIES
– Wray Buntine
|
|
2
|
Rule Induction with Extension Matrices
– Xindong Wu
- 1998
|
|
94
|
Wrappers For Performance Enhancement And Oblivious Decision Graphs
– Ron Kohavi, Yoav Shoham, Jerry Friedman
- 1995
|
|
4
|
Reduced-Error Pruning With Significance Tests
– Eibe Frank, Ian H. Witten
- 1998
|
|
5
|
Hybrid Decision Tree
– Z.-H. Zhou, Z.-Q. Chen, Zhi-hua Zhou, Zhao-qian Chen
- 2002
|
|
16
|
Learning Logical Exceptions In Chess
– Michael Bain
- 1994
|
|
31
|
General and Efficient Multisplitting of Numerical Attributes
– Tapio Elomaa, Juho Rousu, C. Holte
- 1999
|
|
897
|
Instance-based learning algorithms
– David W. Aha, Dennis Kibler, Marc K. Albert
- 1991
|
|
|
A Lazy Model-Based Approach to On-Line Classification
– Gabor Melli
- 1998
|
|
31
|
Decision Graphs - An Extension of Decision Trees
– Jonathan J. Oliver
- 1993
|
|
3
|
A Comparison of Pruning Methods for Relational Concept Learning
– Johannes Fürnkranz
- 1994
|
