Oversearching and Layered Search in Empirical Learning (1995)

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by J. R. Quinlan , R. M. Cameron-jones
Venue:In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence
Citations:85 - 0 self

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7 Constructing New Attributes for Decision Tree Learning – Zijian Zheng - 1996
2 Machine Learning as Massive Search – Richard B. Segal - 1997
1 The Value of Lookahead Feature Construction in Decision Tree Induction – Ricardo Vilalta, Gunnar Blix, Larry Rendell - 1995
136 Separate-and-conquer rule learning – Johannes F├╝rnkranz - 1999
146 Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey – Sreerama K. Murthy - 1997
5 Hyper-rectangle-based discriminative data generalization and applications in data mining – Byron Ju Gao - 2007
54 Further Experimental Evidence against the Utility of Occam's Razor – Geoffrey I. Webb - 1996
76 OPUS: An efficient admissible algorithm for unordered search – Geoffrey I. Webb - 1995
4 Inclusive pruning: A new class of pruning rule for unordered search and its application to classification learning. – Geoffrey I Webb - 1996
Inclusive pruning: A new class of pruning axiom for unordered search and its application to classification learning. – Geoffrey I. Webb
5 OPUS: A systematic search algorithm and its application to categorical attribute-value datadriven machine learning. – Geoffrey I. Webb - 1993
414 Integrating classification and association rule mining – Bing Liu, Wynne Hsu, Yiming Ma - 1998
38 Simplifying Decision Trees: A Survey – Leonard A. Breslow, David W. Aha - 1996
173 Feature Selection for Classification – M. Dash, H. Liu - 1997
Ai Miei Genitori Ii – Acknowledgements First Would, Cesare Stefanelli, Franco Zambonelli
Machine Learning: An Annotated Bibliography for the 1995 AI & . . . – David W. Aha - 1995
13 Pruning decision trees and lists – Eibe Frank - 2000
424 Selection of relevant features and examples in machine learning – Avrim L. Blum, Pat Langley - 1997
43 Pruning Algorithms for Rule Learning – Johannes F├╝rnkranz - 1997