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» A Bayesian Metric for Evaluating Machine Learning Algorithms
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ECAI
2000
Springer
15 years 2 months ago
Naive Bayes and Exemplar-based Approaches to Word Sense Disambiguation Revisited
Abstract. This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar–basedclassification, on the Word Sens...
Gerard Escudero, Lluís Màrquez, Germ...
MLCW
2005
Springer
15 years 3 months ago
Evaluating Predictive Uncertainty Challenge
This Chapter presents the PASCAL1 Evaluating Predictive Uncertainty Challenge, introduces the contributed Chapters by the participants who obtained outstanding results, and provide...
Joaquin Quiñonero Candela, Carl Edward Rasm...
SEKE
2004
Springer
15 years 3 months ago
Automatic bug triage using text categorization
Bug triage, deciding what to do with an incoming bug report, is taking up increasing amount of developer resources in large open-source projects. In this paper, we propose to appl...
Davor Cubranic, Gail C. Murphy
AI
1999
Springer
14 years 9 months ago
Introspective Multistrategy Learning: On the Construction of Learning Strategies
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
Michael T. Cox, Ashwin Ram
ICIP
2006
IEEE
15 years 11 months ago
Support Vector Machines for Camera Calibration Problem
This paper presents a statistical learning-based solution to the camera calibration problem in which the Support Vector Machines (SVM) are used for the estimation of the projectio...
Refaat M. Mohamed, Abdelrehim H. Ahmed, Ahmed Eid,...