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    MLMI
    2005
    Springer
    120views Machine Learning» more  MLMI 2005»
    Improving the Performance of Acoustic Event Classification by Selecting and Combining Information Sources Using the Fuzzy Integr
    14 years 27 days ago
    Improving the Performance of Acoustic Event Classification by Selecting and Combining Information Sources Using the Fuzzy Integr
    Download  gps-tsc.upc.es
    Acoustic events produced in meeting-room-like environments may carry information useful for perceptually aware interfaces. In this paper, we focus on the problem of combining diffe...
    Andrey Temko, Dusan Macho, Climent Nadeu
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    NAR
    2008
    116views more  NAR 2008»
    SuperPred: drug classification and target prediction
    13 years 7 months ago
    SuperPred: drug classification and target prediction
    Download  bioinformatics.charite.de
    The drug classification scheme of the World Health Organization (WHO) [Anatomical Therapeutic Chemical (ATC)-code] connects chemical classification and therapeutic approach. It is...
    Mathias Dunkel, Stefan Günther, Jessica Ahmed...
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    BMCBI
    2010
    189views more  BMCBI 2010»
    High quality protein sequence alignment by combining structural profile prediction and profile alignment using SABERTOOTH
    13 years 7 months ago
    High quality protein sequence alignment by combining structural profile prediction and profile alignment using SABERTOOTH
    Download  www.biomedcentral.com
    Background: Protein alignments are an essential tool for many bioinformatics analyses. While sequence alignments are accurate for proteins of high sequence similarity, they become...
    Florian Teichert, Jonas Minning, Ugo Bastolla, Mar...
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    FSS
    2008
    110views more  FSS 2008»
    Learning valued preference structures for solving classification problems
    13 years 7 months ago
    Learning valued preference structures for solving classification problems
    Download  www.mathematik.uni-marburg.de
    This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
    Eyke Hüllermeier, Klaus Brinker
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    LREC
    2010
    187views Education» more  LREC 2010»
    Ontology-Based Categorization of Web Services with Machine Learning
    13 years 8 months ago
    Ontology-Based Categorization of Web Services with Machine Learning
    Download  gate.ac.uk
    We present the problem of categorizing web services according to a shallow ontology for presentation on a specialist portal, using their WSDL and associated textual documents foun...
    Adam Funk, Kalina Bontcheva
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