George H. John

发表

Wrappers for Feature Subset Selection

Ron Kohavi, George H. John, Ron Kohavi, 1997, Artif. Intell..

Automatic Parameter Selection by Minimizing Estimated Error

Ron Kohavi, George H. John, Ron Kohavi, 1995, ICML.

Geometry-Based Learning Algorithms

George H. John, 2007 .

When the Best Move Isn't Optimal: Q-learning with Exploration

George H. John, 1994, AAAI.

Cross-Validated C4.5: Using Error Estimation for Automatic Parameter Selection

George H. John, 1994 .

Feature Selection for Knowledge Discovery and Data Mining

Ron Kohavi, George H. John, Ron Kohavi, 1998 .

Robust Linear Discriminant Trees

George H. John, George H. John, 1995, AISTATS.

Building long/short portfolios using rule induction

George H. John, Peter Miller, Peter Miller, 1996, IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering (CIFEr).

Wrappers for feature selection

Ron Kohavi, George H. John, Ron Kohavi, 1997 .

Behind-the-scenes data mining: a report on the KDD-98 panel

George H. John, 1999, SKDD.

SIPping from the Data Firehose

George H. John, Brian Lent, 1997, KDD.

MLC++: a machine learning library in C++

Ron Kohavi, David Manley, George H. John, 1994, Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94.

The Wrapper Approach

Ron Kohavi, George H. John, Ron Kohavi, 1998 .

Static Versus Dynamic Sampling for Data Mining

Pat Langley, George H. John, P. Langley, 1996, KDD.

Finding Multivariate Splits in Decision Trees Using Function Optimization

George H. John, 1994, AAAI.

Robust Decision Trees: Removing Outliers from Databases

George H. John, 1995, KDD.

Stock Selection Using Recon

George H. John, Randy Kerber, Peter D. Miller, 1996 .

Enhancements to the data mining process

George H. John, 1997 .

Stock Selection Using Rule Induction

George H. John, Peter Miller, Randy Kerber, 1996, IEEE Expert.

Cascade correlation: derivation of a more numerically stable update rule

George H. John, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Mortgage data mining

Yin Zhao, George H. John, 1997, Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering (CIFEr).

Estimating Continuous Distributions in Bayesian Classifiers pdf

Pat Langley, George H. John, P. Langley, 1995, UAI.

Irrelevant Features and the Subset Selection Problem

Ron Kohavi, George H. John, George H. John, 1994, ICML.

DATA MINING AND STATISTICS IN MEDICINE: AN APPLICATION IN PROSTATE CANCER DETECTION

George H. John, 2005 .

Tools with AI ' 94 MLC + + : A Machine Learning Library in C + + Ron Kohavi

George H. John, Richard Long, David Manley, 2015 .

Robust Soft-Entropy Neural Network Trees

George H. John, 2007 .

AIJ special issue on relevance Wrappers for Feature Subset Selection

George H. John, Ron Kohavi, 1996 .

Autmatic parameter selection by minimizing estimated error

George H. John, Ron Kohavi, 1995, ICML 1995.