| 1999 |
|---|
| 12 | EE | George H. John:
Behind-the-Scenes Data Mining: A Report on the KDD-98 Panel.
SIGKDD Explorations 1(1): 6-8 (1999) |
| 1997 |
|---|
| 11 | | George H. John,
Brian Lent:
SIPping from the Data Firehose.
KDD 1997: 199-202 |
| 10 | EE | Ron Kohavi,
George H. John:
Wrappers for Feature Subset Selection.
Artif. Intell. 97(1-2): 273-324 (1997) |
| 1996 |
|---|
| 9 | | George H. John,
Pat Langley:
Static Versus Dynamic Sampling for Data Mining.
KDD 1996: 367-370 |
| 8 | EE | George H. John,
Peter Miller,
Randy Kerber:
Stock Selection Using Rule Induction.
IEEE Expert 11(5): 52-58 (1996) |
| 1995 |
|---|
| 7 | | Ron Kohavi,
George H. John:
Autmatic Parameter Selection by Minimizing Estimated Error.
ICML 1995: 304-312 |
| 6 | | George H. John:
Robust Decision Trees: Removing Outliers from Databases.
KDD 1995: 174-179 |
| 5 | EE | George H. John,
Pat Langley:
Estimating Continuous Distributions in Bayesian Classifiers.
UAI 1995: 338-345 |
| 1994 |
|---|
| 4 | | George H. John:
Finding Multivariate Splits in Decision Trees Using Function Optimization.
AAAI 1994: 1463 |
| 3 | | George H. John:
When the Best Move Isn't Optimal: Q-learning with Exploration.
AAAI 1994: 1464 |
| 2 | | George H. John,
Ron Kohavi,
Karl Pfleger:
Irrelevant Features and the Subset Selection Problem.
ICML 1994: 121-129 |
| 1 | | Ron Kohavi,
George H. John,
Richard Long,
David Manley,
Karl Pfleger:
MLC++: A Machine Learning Library in C++.
ICTAI 1994: 740-743 |
