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    CSE
    2009
    IEEE
    238views Theoretical Computer Science» more  CSE 2009»
    Churn Prediction in MMORPGs: A Social Influence Based Approach
    13 years 11 months ago
    Churn Prediction in MMORPGs: A Social Influence Based Approach
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    Massively Multiplayer Online Role Playing Games (MMORPGs) are computer based games in which players interact with one another in the virtual world. Worldwide revenues for MMORPGs h...
    Jaya Kawale, Aditya Pal, Jaideep Srivastava
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    JCDL
    2010
    ACM
    184views Education» more  JCDL 2010»
    Evaluating topic models for digital libraries
    14 years 28 days ago
    Evaluating topic models for digital libraries
    Download  www.ics.uci.edu
    Topic models could have a huge impact on improving the ways users find and discover content in digital libraries and search interfaces, through their ability to automatically lea...
    David Newman, Youn Noh, Edmund M. Talley, Sarvnaz ...
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    BMCBI
    2010
    129views more  BMCBI 2010»
    Detection of distant evolutionary relationships between protein families using theory of sequence profile-profile comparison
    13 years 8 months ago
    Detection of distant evolutionary relationships between protein families using theory of sequence profile-profile comparison
    Download  www.biomedcentral.com
    Background: Detection of common evolutionary origin (homology) is a primary means of inferring protein structure and function. At present, comparison of protein families represent...
    Mindaugas Margelevicius, Ceslovas Venclovas
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    AAAI
    2011
    138views Intelligent Agents» more  AAAI 2011»
    Using Semantic Cues to Learn Syntax
    12 years 7 months ago
    Using Semantic Cues to Learn Syntax
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    We present a method for dependency grammar induction that utilizes sparse annotations of semantic relations. This induction set-up is attractive because such annotations provide u...
    Tahira Naseem, Regina Barzilay
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    BMCBI
    2010
    118views more  BMCBI 2010»
    From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
    13 years 8 months ago
    From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
    Download  www.biomedcentral.com
    Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
    Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
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