| Wrappers for feature subset selection R Kohavi, GH John Artificial intelligence 97 (1-2), 273-324, 1997 | 11772 | 1997 |
| Estimating continuous distributions in Bayesian classifiers GH John, P Langley arXiv preprint arXiv:1302.4964, 2013 | 4834 | 2013 |
| Irrelevant features and the subset selection problem GH John, R Kohavi, K Pfleger Machine learning proceedings 1994, 121-129, 1994 | 3734 | 1994 |
| Robust Decision Trees: Removing Outliers from Databases. GH John KDD 95, 174-179, 1995 | 380 | 1995 |
| MLC++: A machine learning library in C++ R Kohavi, G John, R Long, D Manley, K Pfleger Proceedings Sixth International Conference on Tools with Artificial …, 1994 | 332 | 1994 |
| Static Versus Dynamic Sampling for Data Mining. GH John, P Langley Kdd 96, 367-370, 1996 | 312 | 1996 |
| Automatic parameter selection by minimizing estimated error R Kohavi, GH John Machine Learning Proceedings 1995, 304-312, 1995 | 276 | 1995 |
| The wrapper approach R Kohavi, GH John Feature Extraction, Construction and Selection: a data mining perspective, 33-50, 1998 | 269 | 1998 |
| Enhancements to the data mining process GH John stanford university, 1997 | 242 | 1997 |
| Method and apparatus for scalable probabilistic clustering using decision trees M Sahami, GH John US Patent 6,564,197, 2003 | 93 | 2003 |
| Stock selection using rule induction GH John, P Miller, R Kerber IEEE Expert 11 (5), 52-58, 1996 | 69 | 1996 |
| When the best move isn't optimal: Q-learning with exploration GH John AAAI 1464, 1994 | 52 | 1994 |
| Robust linear discriminant trees GH John Pre-proceedings of the Fifth International Workshop on Artificial …, 1995 | 50 | 1995 |
| Molecular diagnosis F Markowetz, R Spang Methods of information in medicine 44 (03), 438-443, 2005 | 45 | 2005 |
| Speed control of switched reluctance motor using sliding mode control strategy G John, AR Eastham IAS'95. Conference Record of the 1995 IEEE Industry Applications Conference …, 1995 | 33 | 1995 |
| Cross-validated C4. 5: Using error estimation for automatic parameter selection GH John Training 3 (4), 1994 | 31 | 1994 |
| Behind-the-scenes data mining: a report on the KDD-98 panel GH John ACM SIGKDD Explorations Newsletter 1 (1), 6-8, 1999 | 28 | 1999 |
| SIPping from the Data Firehose. GH John, B Lent KDD, 199-202, 1997 | 27 | 1997 |
| Building long/short portfolios using rule induction GH John, P Miller IEEE/IAFE 1996 Conference on Computational Intelligence for Financial …, 1996 | 24 | 1996 |
| Mortgage data mining GH John, Y Zhao Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial …, 1997 | 11 | 1997 |
Ron KohaviTechnical Fellow and Vice President, Analysis and Experimentation, MicrosoftVerified email at microsoft.com
