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» Evaluating algorithms that learn from data streams
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CIKM
2009
Springer
16 years 1 months ago
Large margin transductive transfer learning
Recently there has been increasing interest in the problem of transfer learning, in which the typical assumption that training and testing data are drawn from identical distributi...
Brian Quanz, Jun Huan
DAGSTUHL
2011
14 years 6 months ago
Comparative Visualization Using Cross-Mesh Field Evaluations and Derived Quantities
We present a data-level comparative visualization system that utilizes two key pieces of technology: (1) cross-mesh field evaluation – algorithms to evaluate a field from one ...
Hank Childs, Sean Ahern, Jeremy S. Meredith, Mark ...
EDBT
2008
ACM
103views Database» more  EDBT 2008»
16 years 6 months ago
A stratified approach to progressive approximate joins
Users often do not require a complete answer to their query but rather only a sample. They expect the sample to be either the largest possible or the most representative (or both)...
Wee Hyong Tok, Stéphane Bressan, Mong-Li Le...
WSDM
2010
ACM
204views Data Mining» more  WSDM 2010»
16 years 1 months ago
Learning URL patterns for webpage de-duplication
Presence of duplicate documents in the World Wide Web adversely affects crawling, indexing and relevance, which are the core building blocks of web search. In this paper, we pres...
Hema Swetha Koppula, Krishna P. Leela, Amit Agarwa...
BIBM
2009
IEEE
192views Bioinformatics» more  BIBM 2009»
16 years 1 months ago
A Multi-task Feature Selection Filter for Microarray Classification
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...
Liang Lan, Slobodan Vucetic