Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms (1998)

by Thomas G. Dietterich
Citations:530 - 8 self

Documents Related by Co-Citation

2863 UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html – C L Blake, C J Merz - 1998
4905 C4.5: Programs for Machine Learning – J R Quinlan - 1993
2479 Bagging Predictors – Leo Breiman, Leo Breiman - 1996
3917 Pattern Classification and Scene Analysis – R O Duda, P Hart - 1973
274 Bagging, Boosting, and C4.5 – J. R. Quinlan - 1996
3874 Classification and Regression Trees – L Breiman, J H Friedman, R A Olshen, C J Stone - 1984
749 A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection – Ron Kohavi - 1995
154 Data Mining using MLC++: A Machine Learning Library in C++ – Ron Kohavi, Dan Sommerfield, James Dougherty - 1997
1625 Experiments with a New Boosting Algorithm – Yoav Freund, Robert E. Schapire - 1996
2307 A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting – Yoav Freund, Robert E. Schapire - 1997
295 Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier – Pedro Domingos, Michael Pazzani
601 On the optimality of the simple Bayesian classifier under zero-one loss – Pedro Domingos, Michael Pazzani - 1997
8950 The Nature of Statistical Learning Theory – Vladimir N. Vapnik - 1995
94 Bias, Variance, and Arcing Classifiers – Leo Breiman - 1996
333 An analysis of Bayesian classifiers – Pat Langley, Wayne Iba, Kevin Thompson - 1992
3335 Induction of Decision Trees – J. R. Quinlan - 1986
408 Supervised and unsupervised discretization of continuous features – James Dougherty, Ron Kohavi, Mehran Sahami - 1995
172 Bias plus variance decomposition for zero-one loss functions – Ron Kohavi - 1996
148 Error-Correcting Output Coding Corrects Bias and Variance – Eun Bae Kong, Thomas G. Dietterich - 1995