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    COGSCI
    2008
    75views more  COGSCI 2008»
    Exemplars, Prototypes, Similarities, and Rules in Category Representation: An Example of Hierarchical Bayesian Analysis
    13 years 6 months ago
    Exemplars, Prototypes, Similarities, and Rules in Category Representation: An Example of Hierarchical Bayesian Analysis
    Download  lirias.kuleuven.be
    This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
    Michael D. Lee, Wolf Vanpaemel
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    JIB
    2006
    220views more  JIB 2006»
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    13 years 7 months ago
    An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
    Download  journal.imbio.de
    Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
    Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
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    ECML
    2005
    Springer
    154views Machine Learning» more  ECML 2005»
    U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
    14 years 1 months ago
    U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
    Download  eprints.pascal-network.org
    Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
    JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin ...
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    ITS
    2010
    Springer
    178views Multimedia» more  ITS 2010»
    Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data
    14 years 9 days ago
    Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data
    Download  users.wpi.edu
    The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...
    Zachary A. Pardos, Matthew D. Dailey, Neil T. Heff...
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    CVPR
    2000
    IEEE
    213views Computer Vision» more  CVPR 2000»
    Impact of Dynamic Model Learning on Classification of Human Motion
    14 years 9 months ago
    Impact of Dynamic Model Learning on Classification of Human Motion
    Download  www.cc.gatech.edu
    The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
    Vladimir Pavlovic, James M. Rehg
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