Selection of relevant features and examples in machine learning (1997)

by Avrim L. Blum , Pat Langley
Venue:ARTIFICIAL INTELLIGENCE
Citations:463 - 1 self

Active Bibliography

69 Extracting Comprehensible Models from Trained Neural Networks – W. Craven - 1996
1054 Wrappers for feature subset selection – Ron Kohavi , George H. John - 1997
Artificial Intelligence Selection of relevant features and examples in machine – Avrim L. Bluma, Pat Langley B - 1995
592 A Short Introduction to Boosting – Yoav Freund, Robert E. Schapire - 1999
603 Irrelevant Features and the Subset Selection Problem – George H. John, Ron Kohavi, Karl Pfleger - 1994
611 Detecting faces in images: A survey – Ming-hsuan Yang, David J. Kriegman, Narendra Ahuja - 2002
2367 A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting – Yoav Freund, Robert E. Schapire - 1996
538 An Efficient Boosting Algorithm for Combining Preferences – Raj Dharmarajan Iyer , Jr. - 1999
1250 Additive Logistic Regression: a Statistical View of Boosting – Jerome Friedman, Trevor Hastie, Robert Tibshirani - 1998