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» Evaluating algorithms that learn from data streams
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WWW
2010
ACM
16 years 17 days ago
Redundancy detection in service-oriented systems
This paper addresses the problem of identifying redundant data in large-scale service-oriented information systems. Specifically, the paper puts forward an automated method to pi...
Peep Küngas, Marlon Dumas
ICML
2007
IEEE
16 years 8 months ago
Simpler core vector machines with enclosing balls
The core vector machine (CVM) is a recent approach for scaling up kernel methods based on the notion of minimum enclosing ball (MEB). Though conceptually simple, an efficient impl...
András Kocsor, Ivor W. Tsang, James T. Kwok
IJAR
2010
97views more  IJAR 2010»
15 years 5 months ago
Parameter estimation and model selection for mixtures of truncated exponentials
Bayesian networks with mixtures of truncated exponentials (MTEs) support efficient inference algorithms and provide a flexible way of modeling hybrid domains (domains containing ...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...
IR
2008
15 years 7 months ago
Negation recognition in medical narrative reports
Substantial medical data, such as discharge summaries and operative reports are stored in electronic textual form. Databases containing free-text clinical narratives reports often...
Lior Rokach, Roni Romano, Oded Maimon
SSDBM
2005
IEEE
100views Database» more  SSDBM 2005»
16 years 25 days ago
An Information Theoretic Model for Database Alignment
As with many large organizations, the Government's data is split in many different ways and is collected at different times by different people. The resulting massive data he...
Patrick Pantel, Andrew Philpot, Eduard H. Hovy