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139
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ICML
1998
IEEE
16 years 5 months ago
The Case against Accuracy Estimation for Comparing Induction Algorithms
We analyze critically the use of classi cation accuracy to compare classi ers on natural data sets, providing a thorough investigation using ROC analysis, standard machine learnin...
Foster J. Provost, Tom Fawcett, Ron Kohavi
ECML
2005
Springer
15 years 10 months ago
Fitting the Smallest Enclosing Bregman Ball
Finding a point which minimizes the maximal distortion with respect to a dataset is an important estimation problem that has recently received growing attentions in machine learnin...
Richard Nock, Frank Nielsen
124
Voted
COLING
2008
15 years 6 months ago
Other-Anaphora Resolution in Biomedical Texts with Automatically Mined Patterns
This paper proposes an other-anaphora resolution approach in bio-medical texts. It utilizes automatically mined patterns to discover the semantic relation between an anaphor and a...
Bin Chen, Xiaofeng Yang, Jian Su, Chew Lim Tan
177
Voted
ECTEL
2006
Springer
15 years 8 months ago
A Context-Aware Service Oriented Framework for Finding, Recommending and Inserting Learning Objects
In this poster, we will propose a framework for finding, recommending and inserting learning objects in a digital repository level, exploiting the user context that is captured fro...
Xavier Ochoa, Stefaan Ternier, Gonzalo Parra, Erik...
ICML
2004
IEEE
16 years 5 months ago
Learning and evaluating classifiers under sample selection bias
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
Bianca Zadrozny