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    PKDD
    2005
    Springer
    122views Data Mining» more  PKDD 2005»
    A Probabilistic Clustering-Projection Model for Discrete Data
    14 years 1 months ago
    A Probabilistic Clustering-Projection Model for Discrete Data
    Download  www.dbs.informatik.uni-muenchen.de
    For discrete co-occurrence data like documents and words, calculating optimal projections and clustering are two different but related tasks. The goal of projection is to find a ...
    Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
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    BMEI
    2008
    IEEE
    222views Biomedical Imaging» more  BMEI 2008»
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    13 years 9 months ago
    Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps
    Download  math.georgiasouthern.edu
    The importance of gene expression data in cancer diagnosis and treatment by now has been widely recognized by cancer researchers in recent years. However, one of the major challen...
    Rui Xu, Steven Damelin, Boaz Nadler, Donald C. Wun...
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    FLAIRS
    2009
    130views Artificial Intelligence» more  FLAIRS 2009»
    Organizing Knowledge as an Ontology of the Domain of Resilient Computing by Means of Natural Language Processing - An Experience
    13 years 5 months ago
    Organizing Knowledge as an Ontology of the Domain of Resilient Computing by Means of Natural Language Processing - An Experience
    Download  www.uni-ulm.de
    Scientists typically need to take a large volume of information into account in order to deal with re-occurring tasks such as inspecting proceedings, finding related work, or revi...
    Algirdas Avizienis, Gintare Grigonyte, Johann Hall...
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    SAC
    2006
    ACM
    130views Applied Computing» more  SAC 2006»
    Exploiting partial decision trees for feature subset selection in e-mail categorization
    14 years 1 months ago
    Exploiting partial decision trees for feature subset selection in e-mail categorization
    Download  www.ec.tuwien.ac.at
    In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
    Helmut Berger, Dieter Merkl, Michael Dittenbach
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    LWA
    2004
    124views Software Engineering» more  LWA 2004»
    Dirichlet Enhanced Latent Semantic Analysis
    13 years 9 months ago
    Dirichlet Enhanced Latent Semantic Analysis
    Download  www.gatsby.ucl.ac.uk
    This paper describes nonparametric Bayesian treatments for analyzing records containing occurrences of items. The introduced model retains the strength of previous approaches that...
    Kai Yu, Shipeng Yu, Volker Tresp
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