Cached Sufficient Statistics for Efficient Machine Learning with Large Datasets (1997)

by Andrew Moore , Mary Soon Lee
Venue:Journal of Artificial Intelligence Research
Citations:120 - 19 self

Active Bibliography

1 Cached Sufficient Statistics for Automated Mining and Discovery from Massive Data Sources – Andrew Moore, Jeff Schneider, Brigham Anderson Brighamcs. Cmu. Edu, Paul Komarek Komarekcs. Cmu. Edu, Remi Munos Munoscs. Clm. Edu, Kary Myers Karycs. Cmu. Edu, Dan Pelleg Dpellegcs. Cmu. Edu - 2000
423 Selection of relevant features and examples in machine learning – Avrim L. Blum, Pat Langley - 1997
Cached Sufficient Statistics for Automated Mining and Discovery from Massive Data Sources – Remi Munos, Kary Myers, Dan Pelleg, et al. - 1999
7 Constructing New Attributes for Decision Tree Learning – Zijian Zheng - 1996
9 Using Multi-Strategy Learning to Improve Planning Efficiency and Quality – Tara Adrienne Estlin - 1998
32 Balanced Cooperative Modeling – Katharina Morik - 1993
14 Theory refinement of bayesian networks with hidden variables – Sowmya Ramachandran - 1998
22 Density-adaptive learning and forgetting – Marcos Salganicoff, Marcos Salganico - 1993
23 ADtrees for Fast Counting and for Fast Learning of Association Rules – Brigham Anderson, Andrew Moore - 1998
5 Real-valued all-dimensions search: Low-overhead rapid searching over subsets of attributes – Andrew Moore, Jeff Schneider - 2002
33 Cubetree: Organization of and bulk incremental updates on the data cube – Nick Roussopoulos - 1997
A Lazy Model-Based Approach to On-Line Classification – Gabor Melli - 1998
MLC++ Utilities 2.0 – Ronny Kohavi, Dan Sommerfield - 1996
107 Wrappers For Performance Enhancement And Oblivious Decision Graphs – Ron Kohavi, Yoav Shoham, Jerry Friedman - 1995
139 Correlation-based feature selection for machine learning – Mark A. Hall - 1998
54 Further Experimental Evidence against the Utility of Occam's Razor – Geoffrey I. Webb - 1996
An Extended Transformation Approach to . . . – Nada Lavrač, Peter Flach - 2001
47 Mathematical Programming for Data Mining: Formulations and Challenges – P. S. Bradley, Usama M. Fayyad, O. L. Mangasarian - 1998
3 A Comparison of Pruning Methods for Relational Concept Learning – Johannes Fürnkranz - 1994