Seguir
Ron Kohavi
Ron Kohavi
Technical Fellow and Vice President, Analysis and Experimentation, Microsoft
Dirección de correo verificada de microsoft.com - Página principal
Título
Citado por
Citado por
Año
A study of cross-validation and bootstrap for accuracy estimation and model selection
R Kohavi
Ijcai 14 (2), 1137-1145, 1995
171541995
Wrappers for feature subset selection
R Kohavi, GH John
Artificial intelligence 97 (1-2), 273-324, 1997
117921997
Irrelevant features and the subset selection problem
GH John, R Kohavi, K Pfleger
Machine learning proceedings 1994, 121-129, 1994
37411994
An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
E Bauer, R Kohavi
Machine learning 36, 105-139, 1999
37361999
Supervised and unsupervised discretization of continuous features
J Dougherty, R Kohavi, M Sahami
Machine learning proceedings 1995, 194-202, 1995
30901995
Scaling up the accuracy of naive-bayes classifiers: A decision-tree hybrid.
R Kohavi
Kdd 96, 202-207, 1996
23891996
The case against accuracy estimation for comparing induction algorithms.
FJ Provost, T Fawcett, R Kohavi
ICML 98, 445-453, 1998
1977*1998
Glossary of terms
R Kohavi
Machine learning 30, 271-274, 1998
19051998
The power of decision tables
R Kohavi
European conference on machine learning, 174-189, 1995
11591995
Bias plus variance decomposition for zero-one loss functions
R Kohavi, DH Wolpert
ICML 96, 275-283, 1996
10231996
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
9452009
Real world performance of association rule algorithms
Z Zheng, R Kohavi, L Mason
Proceedings of the seventh ACM SIGKDD international conference on Knowledge …, 2001
7322001
Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology.
R Kohavi, D Sommerfield
KDD 95, 192-197, 1995
5311995
Wrappers for performance enhancement and oblivious decision graphs
R Kohavi
stanford university, 1996
5001996
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
4841997
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
484*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
484*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
484*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
4762007
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20