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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
152951995
Wrappers for feature subset selection
R Kohavi, GH John
Artificial intelligence 97 (1-2), 273-324, 1997
107231997
Irrelevant features and the subset selection problem
GH John, R Kohavi, K Pfleger
Machine learning proceedings 1994, 121-129, 1994
35071994
An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
E Bauer, R Kohavi
Machine learning 36 (1), 105-139, 1999
34261999
Supervised and unsupervised discretization of continuous features
J Dougherty, R Kohavi, M Sahami
Machine learning proceedings 1995, 194-202, 1995
28761995
Scaling up the accuracy of naive-bayes classifiers: A decision-tree hybrid.
R Kohavi
Kdd 96, 202-207, 1996
19731996
The case against accuracy estimation for comparing induction algorithms.
FJ Provost, T Fawcett, R Kohavi
ICML 98, 445-453, 1998
1815*1998
Glossary of terms
R Kohavi
Special issue on applications of machine learning and the knowledge …, 1998
16821998
The power of decision tables
R Kohavi
European conference on machine learning, 174-189, 1995
10751995
Bias plus variance decomposition for zero-one loss functions
R Kohavi, DH Wolpert
ICML 96, 275-83, 1996
9121996
Controlled experiments on the web: survey and practical guide
R Kohavi, R Longbotham, D Sommerfield, RM Henne
Data mining and knowledge discovery 18 (1), 140-181, 2009
8042009
Real world performance of association rule algorithms
Z Zheng, R Kohavi, L Mason
Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001
6972001
Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology.
R Kohavi, D Sommerfield
KDD, 192-197, 1995
5071995
Wrappers for performance enhancement and oblivious decision graphs
R Kohavi
stanford university, 1996
4801996
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
4731997
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
473*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
473*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
473*1996
Emerging trends in business analytics
R Kohavi, NJ Rothleder, E Simoudis
Communications of the ACM 45 (8), 45-48, 2002
4462002
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
4242007
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