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ORCIDGeorge H. John
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2010 – 2019
- 2013
[i1]George H. John, Pat Langley:
Estimating Continuous Distributions in Bayesian Classifiers. CoRR abs/1302.4964 (2013)
1990 – 1999
- 1999
- [j3]George H. John:
Behind-the-Scenes Data Mining: A Report on the KDD-98 Panel. SIGKDD Explor. 1(1): 6-8 (1999) - 1997
- [b1]George H. John:
Enhancements to the data mining process. Stanford University, USA, 1997 - [j2]Ron Kohavi, George H. John:
Wrappers for Feature Subset Selection. Artif. Intell. 97(1-2): 273-324 (1997) - [c13]George H. John, Yin Zhao:
Mortgage data mining. CIFEr 1997: 232-236 - [c12]George H. John, Brian Lent:
SIPping from the Data Firehose. KDD 1997: 199-202 - 1996
- [j1]George H. John, Peter Miller, Randy Kerber:
Stock Selection Using Rule Induction. IEEE Expert 11(5): 52-58 (1996) - [c11]George H. John, Peter Miller:
Building long/short portfolios using rule induction. CIFEr 1996: 134-140 - [c10]George H. John, Pat Langley:
Static Versus Dynamic Sampling for Data Mining. KDD 1996: 367-370 - 1995
- [c9]George H. John:
Robust Linear Discriminant Trees. AISTATS 1995: 375-385 - [c8]Ron Kohavi, George H. John:
Automatic Parameter Selection by Minimizing Estimated Error. ICML 1995: 304-312 - [c7]George H. John:
Cascade correlation: derivation of a more numerically stable update rule. ICNN 1995: 1126-1129 - [c6]George H. John:
Robust Decision Trees: Removing Outliers from Databases. KDD 1995: 174-179 - [c5]George H. John, Pat Langley:
Estimating Continuous Distributions in Bayesian Classifiers. UAI 1995: 338-345 - 1994
- [c4]George H. John:
Finding Multivariate Splits in Decision Trees Using Function Optimization. AAAI 1994: 1463 - [c3]George H. John:
When the Best Move Isn't Optimal: Q-learning with Exploration. AAAI 1994: 1464 - [c2]George H. John, Ron Kohavi, Karl Pfleger:
Irrelevant Features and the Subset Selection Problem. ICML 1994: 121-129 - [c1]Ron Kohavi, George H. John, Richard Long, David Manley, Karl Pfleger:
MLC++: A Machine Learning Library in C++. ICTAI 1994: 740-743
Coauthor Index
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