Sequential Inductive Learning (1995)

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by Jonathan Gratch
Venue:In Proceedings of the Thirteenth National Conference on Artificial Intelligence
Citations:7 - 0 self

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69 Extracting Comprehensible Models from Trained Neural Networks – W. Craven - 1996
4 An Effective Method for Correlated Selection Problems – Jonathan Gratch - 1994
1023 Wrappers for feature subset selection – Ron Kohavi , George H. John - 1997
7 Constructing New Attributes for Decision Tree Learning – Zijian Zheng - 1996
38 Simplifying Decision Trees: A Survey – Leonard A. Breslow, David W. Aha - 1996
2 A racing algorithm: Model selection for memory based learners – Oded Maron, Andrew W. Moore - 1996
50 The Racing Algorithm: Model Selection for Lazy Learners – Oded Maron, Andrew W. Moore - 1997
A Decision-Theoretic Approach To . . . – Jonathan Gratch, Gerald Dejong - 1996
288 Mining high-speed data streams – Pedro Domingos - 2000
!()+, -./01 23456 – Department Of Computer, David P. Dobkin, Dimitrios Gunopulos, Wolfgang Maass, Technische Universitaet Graz - 1995
75 Theory and Applications of Agnostic PAC-Learning with Small Decision Trees – Peter Auer, Robert C. Holte, Wolfgang Maass - 1995
MLnet Summer School on Machine Learning and Knowledge Acquisition: LEARNING AND PROBABILITIES – Wray Buntine
Bioinformatics – Vol No Pages - 2003
100 The Power of Decision Tables – Ron Kohavi - 1995
A Lazy Model-Based Approach to On-Line Classification – Gabor Melli - 1998
119 Multivariate Decision Trees – Carla E. Brodley, Paul E. Utgoff - 1992
17 Top-Down Induction of Decision Trees Classifiers -- A Survey – Lior Rokach , Oded Maimon - 2002
c ○ 2000 Kluwer Academic Publishers. Printed in The Netherlands. Multiple Comparisons in Induction Algorithms – David D. Jensen, Paul R. Cohen
1 Decision Trees For Classification: A Review And Some New Results – Ravi Kothari, Ming Dong