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» Learning the Common Structure of Data
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ACL
2009
15 years 1 months ago
Learning with Annotation Noise
It is usually assumed that the kind of noise existing in annotated data is random classification noise. Yet there is evidence that differences between annotators are not always ra...
Eyal Beigman, Beata Beigman Klebanov
IPMI
2011
Springer
14 years 7 months ago
Learning an Atlas of a Cognitive Process in Its Functional Geometry
In this paper we construct an atlas that captures functional characteristics of a cognitive process from a population of individuals. The functional connectivity is encoded in a lo...
Georg Langs, Danial Lashkari, Andrew Sweet, Yanmei...
101
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SEMWEB
2007
Springer
15 years 10 months ago
Potluck: Data Mash-Up Tool for Casual Users
As more and more reusable structured data appears on the Web, casual users will want to take into their own hands the task of mashing up data rather than wait for mash-up sites to ...
David F. Huynh, Robert C. Miller, David R. Karger
RECOMB
2001
Springer
16 years 4 months ago
Predicting the beta-helix fold from protein sequence data
A method is presented that uses b-strand interactions to predict the parallel right-handed b-helix super-secondary structural motif in protein sequences. A program called BetaWrap...
Phil Bradley, Lenore Cowen, Matthew Menke, Jonatha...
CAISE
2003
Springer
15 years 9 months ago
A Methodology for the Conceptual Modeling of ETL Processes
Extraction-Transformation-Loading (ETL) tools are pieces of software responsible for the extraction of data from several sources, their cleansing, customization and insertion into ...
Alkis Simitsis, Panos Vassiliadis