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    BMCBI
    2004
    208views more  BMCBI 2004»
    Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
    13 years 4 months ago
    Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
    Download  www.biomedcentral.com
    Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
    Vadim Alexandrov, Mark Gerstein
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    SIMPRA
    2010
    558views more  SIMPRA 2010»
    Species abundance patterns in an ecosystem simulation studied through Fisher's logseries
    13 years 3 months ago
    Species abundance patterns in an ecosystem simulation studied through Fisher's logseries
    Download  know-center.tugraz.at
    We have developed an individual-based evolving predator-prey ecosystem simulation that integrates, for the first time, a complex individual behaviour model, an evolutionary mecha...
    Didier Devaurs, Robin Gras
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    SIMULATION
    2011
    254views Software Engineering» more  SIMULATION 2011»
    The Activity-tracking paradigm in discrete-event modeling and simulation: The case of spatially continuous distributed systems
    12 years 11 months ago
    The Activity-tracking paradigm in discrete-event modeling and simulation: The case of spatially continuous distributed systems
    Download  msdl.cs.mcgill.ca
    From a modelling and simulation perspective, studying dynamic systems consists of focusing on changes in states. According to the precision of state changes, generic algorithms ca...
    Alexandre Muzy, Rajanikanth Jammalamadaka, Bernard...
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    TMM
    2002
    104views more  TMM 2002»
    Spatial contextual classification and prediction models for mining geospatial data
    13 years 4 months ago
    Spatial contextual classification and prediction models for mining geospatial data
    Download  www-users.cs.umn.edu
    Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
    Shashi Shekhar, Paul R. Schrater, Ranga Raju Vatsa...
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    SPAA
    2006
    ACM
    134views Distributed And Parallel Com...» more  SPAA 2006»
    Modeling instruction placement on a spatial architecture
    13 years 10 months ago
    Modeling instruction placement on a spatial architecture
    Download  www1.cs.columbia.edu
    In response to current technology scaling trends, architects are developing a new style of processor, known as spatial computers. A spatial computer is composed of hundreds or eve...
    Martha Mercaldi, Steven Swanson, Andrew Petersen, ...
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