Overfitting and Undercomputing in Machine Learning (1995)

Cached

Download Links

by Tom Dietterich
Venue:Computing Surveys
Citations:26 - 0 self

Documents Related by Co-Citation

3874 Classification and Regression Trees – L Breiman, J H Friedman, R A Olshen, C J Stone - 1984
607 Neural networks and the bias/variance dilemma – S Geman, E Bienenstock, R Doursat, Jan - 1992
4786 Neural Networks for Pattern Recognition – C M Bishop - 1995
4905 C4.5: Programs for Machine Learning – J R Quinlan - 1993
86 Oversearching and Layered Search in Empirical Learning – J. R. Quinlan, R. M. Cameron-jones - 1995
2863 UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html – C L Blake, C J Merz - 1998
3335 Induction of Decision Trees – J. R. Quinlan - 1986
172 Bias plus variance decomposition for zero-one loss functions – Ron Kohavi - 1996
155 On Comparing Classifiers: Pitfalls to Avoid and a Recommended Approach – Steven L. Salzberg, Usama Fayyad - 1997
2272 A tutorial on support vector machines for pattern recognition – Christopher J. C. Burges - 1998
680 Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm – Nick Littlestone - 1988
688 An introduction to variable and feature selection – Isabelle Guyon - 2003
83 Megainduction: Machine learning on very large databases – J Catlett - 1991
253 Computer Systems That Learn: Classification and Prediction Methods from Statistics – S Weiss, C Kulikowski - 1991
167 An empirical comparison of pruning methods for decision tree induction – J Mingers - 1989
167 An Empirical Comparison of Selection Measures for Decision Tree Induction – J MINGERS - 1989
199 Improved Use of Continuous Attributes in C4.5 – J. R. Quinlan - 1996
96 The attribute selection problem in decision tree generation – U Fayyad, K Irani - 1992
52 Lookahead and Pathology in Decision Tree Induction – Sreerama K. Murthy, Steven Salzberg - 1995