George H. John

	1999
12		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		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		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		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

Coauthor Index

1	Randy Kerber	[8]
2	Ron Kohavi	[1] [2] [7] [10]
3	Pat Langley	[5] [9]
4	Brian Lent	[11]
5	Richard Long	[1]
6	David Manley	[1]
7	Peter Miller	[8]
8	Karl Pfleger	[1] [2]

Colors in the list of coauthors