Extracting Comprehensible Models from Trained Neural Networks (1996)

by W. Craven
Citations:69 - 3 self

Active Bibliography

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1036 Wrappers for feature subset selection – Ron Kohavi , George H. John - 1997
427 Selection of relevant features and examples in machine learning – Avrim L. Blum, Pat Langley - 1997
523 An Efficient Boosting Algorithm for Combining Preferences – Raj Dharmarajan Iyer , Jr. - 1999
723 Boosting the margin: A new explanation for the effectiveness of voting methods – Robert E. Schapire, Peter Bartlett, Yoav Freund, Wee Sun Lee - 1997
1222 Additive Logistic Regression: a Statistical View of Boosting – Jerome Friedman, Trevor Hastie, Robert Tibshirani - 1998
568 Solving multiclass learning problems via error-correcting output codes – Thomas G. Dietterich, Ghulum Bakiri - 1995
1056 Instance-based learning algorithms – David W. Aha, Dennis Kibler, Marc K. Albert - 1991