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    SWAP
    2007
    139views Internet Technology» more  SWAP 2007»
    Reasoning with Instances of Heterogeneous Ontologies
    13 years 9 months ago
    Reasoning with Instances of Heterogeneous Ontologies
    Download  ftp.informatik.rwth-aachen.de
    We address the problem of reasoning with instances of heterogeneously formalized ontologies. Given a set of semantic mappings, reconciling conceptual and instance level heterogenei...
    Luciano Serafini, Andrei Tamilin
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    UAI
    2007
    134views Artificial Intelligence» more  UAI 2007»
    "I Can Name that Bayesian Network in Two Matrixes!"
    13 years 9 months ago
    "I Can Name that Bayesian Network in Two Matrixes!"
    Download  sunsite.informatik.rwth-aachen.de
    The traditional approach to building Bayesian networks is to build the graphical structure using a graphical editor and then add probabilities using a separate spreadsheet for eac...
    Russell Almond
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    ADHOC
    2008
    88views more  ADHOC 2008»
    Safari: A self-organizing, hierarchical architecture for scalable ad hoc networking
    13 years 8 months ago
    Safari: A self-organizing, hierarchical architecture for scalable ad hoc networking
    Download  www.cs.rice.edu
    As wireless devices become more pervasive, mobile ad hoc networks are gaining importance, motivating the development of highly scalable ad hoc networking techniques. In this paper...
    Shu Du, Ahamed Khan, Santashil PalChaudhuri, Ansle...
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    ALMOB
    2008
    112views more  ALMOB 2008»
    Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps
    13 years 8 months ago
    Metabolite-based clustering and visualization of mass spectrometry data using one-dimensional self-organizing maps
    Download  www.almob.org
    Background: One of the goals of global metabolomic analysis is to identify metabolic markers that are hidden within a large background of data originating from high-throughput ana...
    Peter Meinicke, Thomas Lingner, Alexander Kaever, ...
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    BIODATAMINING
    2008
    96views more  BIODATAMINING 2008»
    Fast approximate hierarchical clustering using similarity heuristics
    13 years 8 months ago
    Fast approximate hierarchical clustering using similarity heuristics
    Download  www.biodatamining.org
    Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
    Meelis Kull, Jaak Vilo
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