Follow
Ron Kohavi
Ron Kohavi
Technical Fellow and Vice President, Analysis and Experimentation, Microsoft
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
A study of cross-validation and bootstrap for accuracy estimation and model selection
R Kohavi
Ijcai 14 (2), 1137-1145, 1995
169421995
Wrappers for feature subset selection
R Kohavi, GH John
Artificial intelligence 97 (1-2), 273-324, 1997
117941997
Irrelevant features and the subset selection problem
GH John, R Kohavi, K Pfleger
Machine learning proceedings 1994, 121-129, 1994
37301994
An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
E Bauer, R Kohavi
Machine learning 36, 105-139, 1999
37061999
Supervised and unsupervised discretization of continuous features
J Dougherty, R Kohavi, M Sahami
Machine learning proceedings 1995, 194-202, 1995
30771995
Scaling up the accuracy of naive-bayes classifiers: A decision-tree hybrid.
R Kohavi
Kdd 96, 202-207, 1996
23581996
The case against accuracy estimation for comparing induction algorithms.
FJ Provost, T Fawcett, R Kohavi
ICML 98, 445-453, 1998
1951*1998
Glossary of terms
R Kohavi
Machine learning 30, 271-274, 1998
18751998
The power of decision tables
R Kohavi
European conference on machine learning, 174-189, 1995
11571995
Bias plus variance decomposition for zero-one loss functions
R Kohavi, DH Wolpert
ICML 96, 275-283, 1996
10211996
Controlled experiments on the web: survey and practical guide
R Kohavi, R Longbotham, D Sommerfield, RM Henne
Data mining and knowledge discovery 18, 140-181, 2009
9302009
Real world performance of association rule algorithms
Z Zheng, R Kohavi, L Mason
Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001
7282001
Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology.
R Kohavi, D Sommerfield
KDD 95, 192-197, 1995
5261995
Wrappers for performance enhancement and oblivious decision graphs
R Kohavi
stanford university, 1995
4981995
Emerging trends in business analytics
R Kohavi, NJ Rothleder, E Simoudis
Communications of the ACM 45 (8), 45-48, 2002
4922002
Data mining using MLC++: A machine learning library in C++
R Kohavi, D Sommerfield, J Dougherty
Int. J. on Artificial Intelligence Tools 6 (4), 537-566, 1997
4881997
Data mining using MLC++, a machine learning library in C++
R Kohavi, D Sommerfield, J Dougherty
Tools with Artificial Intelligence, 1996., Proceedings Eighth IEEE …, 1996
488*1996
Data mining using MLC++, a machine learning library in C++
R Kohavi, D Sommerfield, J Dougherty
Tools with Artificial Intelligence, 1996., Proceedings Eighth IEEE …, 1996
488*1996
Data mining using MLC++: A machine learning library in C++
R Kohavi, D Sommerfield, J Dougherty
Tools with Artificial Intelligence 6 (4), 234-245, 1996
488*1996
Practical guide to controlled experiments on the web: listen to your customers not to the hippo
R Kohavi, RM Henne, D Sommerfield
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
4692007
The system can't perform the operation now. Try again later.
Articles 1–20