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ICML
2000
IEEE
14 years 8 months ago
Bayesian Averaging of Classifiers and the Overfitting Problem
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
Pedro Domingos
ANNES
1995
13 years 11 months ago
The Development of Holte's 1R Classifier
The 1R procedure for machine learning is a very simple one that proves surprisingly effective on the standard datasets commonly used for evaluation. This paper describes the metho...
Craig G. Nevill-Manning, Geoffrey Holmes, Ian H. W...
PCM
2007
Springer
114views Multimedia» more  PCM 2007»
14 years 2 months ago
Random Convolution Ensembles
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
Michael Mayo
EXACT
2007
13 years 10 months ago
A Categorization of Explanation Questions for Task Processing Systems
A critical aspect of any explanation module is the set of user questions the system will be able to address. However, there has been relatively little work on listing and organizi...
Deborah L. McGuinness, Alyssa Glass, Michael Wolve...
ECTEL
2007
Springer
14 years 2 months ago
A Question Answering Service for Information Retrieval in Cooper
In Cooper, part of the student support will be provided by a Question Answering application in the form of a webservice. Question Answering allows a user to use the content of proj...
Bas Giesbers, Antonio Vincenzo Taddeo, Wim van der...