An Improved Algorithm for Incremental Induction of Decision Trees (1994)

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by Paul E. Utgoff
Venue:In Proceedings of the Eleventh International Conference on Machine Learning
Citations:45 - 4 self

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Machine Learning: An Annotated Bibliography for the 1995 AI & . . . – David W. Aha - 1995
7 Constructing New Attributes for Decision Tree Learning – Zijian Zheng - 1996
1 Paradigms for Machine Learning – Jeffrey C. Schlimmer, Pat Langley - 1991
1 Efficient Incremental Induction of Decision Lists - Can Incremental Learning Outperform Non-Incremental Learning? – Wei-Min Shen - 1996
160 Incremental Induction of Decision Trees – Paul Utgoff Utgoff - 1989
38 Simplifying Decision Trees: A Survey – Leonard A. Breslow, David W. Aha - 1996
6 Feature Discovery for Inductive Concept Learning – Tom Fawcett - 1993
69 Extracting Comprehensible Models from Trained Neural Networks – W. Craven - 1996
Handbook of Perception and Cognition, Vol.14 Chapter 4: Machine Learning – Stuart Russell
8 Machine Learning – Stuart Russell
119 Decision Tree Induction Based on Efficient Tree Restructuring – Paul E. Utgoff, Neil C. Berkman, Jeffery A. Clouse, Doug Fisher - 1996
Encouraging Experimental Results on . . . – Raymond J. Mooney - 1995
99 Symbolic and neural learning algorithms: an experimental comparison – Jude W. Shavlik, Raymond J. Mooney, Geoffrey G. Towell - 1991
103 Iterative Optimization and Simplification of Hierarchical Clusterings – Doug Fisher - 1995
16 Efficient Incremental Induction of Decision Trees – Dimitrios Kalles, Tim Morris, Paul Utgo - 1995
146 Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey – Sreerama K. Murthy - 1997
3 Rule Induction with Extension Matrices – Xindong Wu - 1998
14 Theory refinement of bayesian networks with hidden variables – Sowmya Ramachandran - 1998
44 An Extensible Meta-Learning Approach for Scalable and Accurate Inductive Learning – Philip Kin-Wah Chan - 1996