Thomas G. Dietterich - Researcher Profile

Publications

6 shown

Learning Boolean concepts in the presence of many irrelevant features

Hussein Almuallim , Thomas G. Dietterich

1994 Artificial Intelligence 518 citations

Machine Learning Bias, Statistical Bias, and Statistical Variance of Decision Tree Algorithms

Thomas G. Dietterich , Eun Hui Bae

The term &quot;bias&quot; is widely used---and with different meanings---in the fields of machine learning and statistics. This paper clarifies the uses of this term and...

2008 200 citations

Applying the Waek Learning Framework to Understand and Improve C4.5.

Thomas G. Dietterich , Michael Kearns , Yishay Mansour

1996 International Conference on Machine L... 61 citations

Error-Correcting Output Coding Corrects Bias and Variance

Eun Bae Kong , Thomas G. Dietterich

1995 Elsevier eBooks 357 citations

Ensemble Methods in Machine Learning

Thomas G. Dietterich

2000 Lecture notes in computer science 7433 citations

An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization

Thomas G. Dietterich

2000 Machine Learning 2895 citations

Frequent Co-Authors

Michael Kearns

AT&T (United States)

Yishay Mansour

Researcher Info

h-index: 6
Publications: 6
Citations: 11,464
Institution: Oregon State University

External Links

ORCID Profile Google Scholar

Identifiers

ORCID: 0000-0002-8223-8586

Impact Metrics

h-index 6

h-index: Number of publications with at least h citations each.