George H. John

18 papers A* 7A 2B 1Journal 4Unranked 3

Year	Rank	Type	Title / Venue / Authors
2013	J	`jnl`	Estimating Continuous Distributions in Bayesian Classifiers CoRR George H. John, Pat Langley
1999	J	`jnl`	Behind-the-Scenes Data Mining: A Report on the KDD-98 Panel. SIGKDD Explor. George H. John
1997	—	`—`	Enhancements to the data mining process. George H. John
1997	—	`conf`	Mortgage data mining. CIFEr George H. John, Yin Zhao
1997	A*	`conf`	SIPping from the Data Firehose. KDD George H. John, Brian Lent
1997	J	`jnl`	Wrappers for Feature Subset Selection. Artif. Intell. Ron Kohavi, George H. John
1996	—	`conf`	Building long/short portfolios using rule induction. CIFEr George H. John, Peter Miller
1996	A*	`conf`	Static Versus Dynamic Sampling for Data Mining. KDD George H. John, Pat Langley
1996	J	`jnl`	Stock Selection Using Rule Induction. IEEE Expert George H. John, Peter Miller, Randy Kerber
1995	A*	`conf`	Automatic Parameter Selection by Minimizing Estimated Error. ICML Ron Kohavi, George H. John
1995	—	`conf`	Cascade correlation: derivation of a more numerically stable update rule. ICNN George H. John
1995	A	`conf`	Estimating Continuous Distributions in Bayesian Classifiers. UAI George H. John, Pat Langley
1995	A*	`conf`	Robust Decision Trees: Removing Outliers from Databases. KDD George H. John
1995	A	`conf`	Robust Linear Discriminant Trees. AISTATS George H. John
1994	A*	`conf`	Finding Multivariate Splits in Decision Trees Using Function Optimization. AAAI George H. John
1994	A*	`conf`	Irrelevant Features and the Subset Selection Problem. ICML George H. John, Ron Kohavi, Karl Pfleger
1994	B	`conf`	MLC++: A Machine Learning Library in C++. ICTAI Ron Kohavi, George H. John, Richard Long, David Manley, Karl Pfleger
1994	A*	`conf`	When the Best Move Isn't Optimal: Q-learning with Exploration. AAAI George H. John