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    CCECE
    2006
    IEEE
    338views Electrical And Computer Engi...» more  CCECE 2006»
    A Dynamic Associative E-Learning Model based on a Spreading Activation Network
    13 years 11 months ago
    A Dynamic Associative E-Learning Model based on a Spreading Activation Network
    Download  research.rmutp.ac.th
    Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...
    Phongchai Nilas, Nilamit Nilas, Somsak Mitatha
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    TIP
    2008
    287views more  TIP 2008»
    3-D Object Recognition Using 2-D Views
    13 years 5 months ago
    3-D Object Recognition Using 2-D Views
    Download  www.cse.unr.edu
    We consider the problem of recognizing 3-D objects from 2-D images using geometric models and assuming different viewing angles and positions. Our goal is to recognize and localize...
    Wenjing Li, George Bebis, Nikolaos G. Bourbakis
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    BMCBI
    2011
    252views Artificial Intelligence» more  BMCBI 2011»
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    12 years 9 months ago
    A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-w
    Download  www.biomedcentral.com
    Background: Discovering the genetic basis of common genetic diseases in the human genome represents a public health issue. However, the dimensionality of the genetic data (up to 1...
    Raphael Mourad, Christine Sinoquet, Philippe Leray
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    BMCBI
    2011
    220views Artificial Intelligence» more  BMCBI 2011»
    Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets
    13 years 16 days ago
    Using Stochastic Causal Trees to Augment Bayesian Networks for Modeling eQTL Datasets
    Download  www.cs.ucsb.edu
    Background: The combination of genotypic and genome-wide expression data arising from segregating populations offers an unprecedented opportunity to model and dissect complex phen...
    Kyle C. Chipman, Ambuj K. Singh
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    UAI
    2000
    156views Artificial Intelligence» more  UAI 2000»
    Variational Relevance Vector Machines
    13 years 6 months ago
    Variational Relevance Vector Machines
    Download  www.miketipping.com
    The Support Vector Machine (SVM) of Vapnik [9] has become widely established as one of the leading approaches to pattern recognition and machine learning. It expresses predictions...
    Christopher M. Bishop, Michael E. Tipping
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