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George H. John :
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George H. John , Pat Langley Static Versus Dynamic Sampling for Data Mining. [Citation Graph (1, 0)][DBLP ] KDD, 1996, pp:367-370 [Conf ] George H. John , Brian Lent SIPping from the Data Firehose. [Citation Graph (1, 0)][DBLP ] KDD, 1997, pp:199-202 [Conf ] George H. John Finding Multivariate Splits in Decision Trees Using Function Optimization. [Citation Graph (0, 0)][DBLP ] AAAI, 1994, pp:1463- [Conf ] George H. John When the Best Move Isn't Optimal: Q-learning with Exploration. [Citation Graph (0, 0)][DBLP ] AAAI, 1994, pp:1464- [Conf ] George H. John , Ron Kohavi , Karl Pfleger Irrelevant Features and the Subset Selection Problem. [Citation Graph (0, 0)][DBLP ] ICML, 1994, pp:121-129 [Conf ] Ron Kohavi , George H. John Autmatic Parameter Selection by Minimizing Estimated Error. [Citation Graph (0, 0)][DBLP ] ICML, 1995, pp:304-312 [Conf ] Ron Kohavi , George H. John , Richard Long , David Manley , Karl Pfleger MLC++: A Machine Learning Library in C++. [Citation Graph (0, 0)][DBLP ] ICTAI, 1994, pp:740-743 [Conf ] George H. John Robust Decision Trees: Removing Outliers from Databases. [Citation Graph (0, 0)][DBLP ] KDD, 1995, pp:174-179 [Conf ] George H. John , Pat Langley Estimating Continuous Distributions in Bayesian Classifiers. [Citation Graph (0, 0)][DBLP ] UAI, 1995, pp:338-345 [Conf ] Ron Kohavi , George H. John Wrappers for Feature Subset Selection. [Citation Graph (0, 0)][DBLP ] Artif. Intell., 1997, v:97, n:1-2, pp:273-324 [Journal ] George H. John , Peter Miller , Randy Kerber Stock Selection Using Rule Induction. [Citation Graph (0, 0)][DBLP ] IEEE Expert, 1996, v:11, n:5, pp:52-58 [Journal ] George H. John Behind-the-Scenes Data Mining: A Report on the KDD-98 Panel. [Citation Graph (0, 0)][DBLP ] SIGKDD Explorations, 1999, v:1, n:1, pp:6-8 [Journal ] Search in 0.003secs, Finished in 0.004secs