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BMCBI
2010
182views more  BMCBI 2010»
14 years 11 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
93
Voted
LREC
2008
166views Education» more  LREC 2008»
15 years 1 months ago
A lexicon for biology and bioinformatics: the BOOTStrep experience
This paper describes the design, implementation and population of a lexical resource for biology and bioinformatics (the BioLexicon) developed within an ongoing European project. ...
Valeria Quochi, Monica Monachini, Riccardo Del Gra...
ICASSP
2011
IEEE
14 years 3 months ago
Belief theoretic methods for soft and hard data fusion
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...
KDD
2007
ACM
154views Data Mining» more  KDD 2007»
16 years 1 days ago
Canonicalization of database records using adaptive similarity measures
It is becoming increasingly common to construct databases from information automatically culled from many heterogeneous sources. For example, a research publication database can b...
Aron Culotta, Michael L. Wick, Robert Hall, Matthe...
98
Voted
DBISP2P
2003
Springer
92views Database» more  DBISP2P 2003»
15 years 4 months ago
Semantic Overlay Clusters within Super-Peer Networks
When joining information provider peers to a peer-to-peer network, an arbitrary distribution is sub-optimal. In fact, clustering peers by their characteristics, enhances search and...
Alexander Löser, Felix Naumann, Wolf Siberski...