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» Crafting Papers on Machine Learning
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ECML
1993
Springer
15 years 8 months ago
Exploiting Context When Learning to Classify
This paper addresses the problem of classifying observations when features are context-sensitive, specifically when the testing set involves a context that is different from the t...
Peter D. Turney
ACSAC
2003
IEEE
15 years 9 months ago
A Failure to Learn from the Past
On the evening of 2 November 1988, someone “infected” the Internet with a worm program. That program exploited flaws in utility programs in systems based on BSD-derived versi...
Eugene H. Spafford
ECIR
2010
Springer
15 years 4 months ago
Learning to Distribute Queries into Web Search Nodes
Web search engines are composed of a large set of search nodes and a broker machine that feeds them with queries. A location cache keeps minimal information in the broker to regist...
Marcelo Mendoza, Mauricio Marín, Flavio Fer...
ICML
2001
IEEE
16 years 5 months ago
Some Theoretical Aspects of Boosting in the Presence of Noisy Data
This is a survey of some theoretical results on boosting obtained from an analogous treatment of some regression and classi cation boosting algorithms. Some related papers include...
Wenxin Jiang
ICALT
2006
IEEE
15 years 10 months ago
A Platform for CSCL Practice and Dissemination
CSCL practice and dissemination are problematic due to the lack of technical and pedagogical expertise, concrete training, and support for teachers. This paper describes a technol...
Jacques Lonchamp