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» Informative sampling for large unbalanced data sets
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138
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AAAI
1998
15 years 4 months ago
Learning to Classify Text from Labeled and Unlabeled Documents
In many important text classification problems, acquiring class labels for training documents is costly, while gathering large quantities of unlabeled data is cheap. This paper sh...
Kamal Nigam, Andrew McCallum, Sebastian Thrun, Tom...
159
Voted
TITS
2011
165views more  TITS 2011»
14 years 10 months ago
Robust Inference of Principal Road Paths for Intelligent Transportation Systems
Abstract—Over the last few years, electronic vehicle guidance systems have become increasingly more popular. However, despite their ubiquity, performance will always be subject t...
Gabriel Agamennoni, Juan Nieto, Eduardo Mario Nebo...
135
Voted
CIKM
2009
Springer
15 years 10 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua
135
Voted
BMCBI
2007
217views more  BMCBI 2007»
15 years 3 months ago
On consensus biomarker selection
Background: Recent development of mass spectrometry technology enabled the analysis of complex peptide mixtures. A lot of effort is currently devoted to the identification of biom...
Janusz Dutkowski, Anna Gambin
110
Voted
AIIA
2007
Springer
15 years 9 months ago
English Querying over Ontologies: E-QuOnto
Relational database (DB) management systems provide the standard means for structuring and querying large amounts of data. However, to access such data the exact structure of the D...
Raffaella Bernardi, Francesca Bonin, Diego Calvane...