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» Closed Sets for Labeled Data
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UAI
2004
15 years 7 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
SIGIR
2008
ACM
15 years 6 months ago
Enhancing text clustering by leveraging Wikipedia semantics
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the ...
Jian Hu, Lujun Fang, Yang Cao, Hua-Jun Zeng, Hua L...
AROBOTS
2005
115views more  AROBOTS 2005»
15 years 5 months ago
Obstacle Detection and Terrain Classification for Autonomous Off-Road Navigation
Autonomous navigation in cross-country environments presents many new challenges with respect to more traditional, urban environments. The lack of highly structured components in t...
Roberto Manduchi, Andres Castano, A. Talukder, Lar...
BMCBI
2005
128views more  BMCBI 2005»
15 years 5 months ago
Transformation and other factors of the peptide mass spectrometry pairwise peak-list comparison process
Background: Biological Mass Spectrometry is used to analyse peptides and proteins. A mass spectrum generates a list of measured mass to charge ratios and intensities of ionised pe...
Witold E. Wolski, Maciej Lalowski, Peter Martus, R...
AI
2000
Springer
15 years 5 months ago
Learning to construct knowledge bases from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...