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    NIPS
    2000
    127views Information Technology» more  NIPS 2000»
    Structure Learning in Human Causal Induction
    15 years 5 months ago
    Structure Learning in Human Causal Induction
    Download  web.mit.edu
    We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
    Joshua B. Tenenbaum, Thomas L. Griffiths
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    115
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    IJON
    2007
    118views more  IJON 2007»
    CATS benchmark time series prediction by Kalman smoother with cross-validated noise density
    15 years 3 months ago
    CATS benchmark time series prediction by Kalman smoother with cross-validated noise density
    Download  www.lce.hut.fi
    This article presents the winning solution to the CATS time series prediction competition. The solution is based on classical optimal linear estimation theory. The proposed method...
    Simo Särkkä, Aki Vehtari, Jouko Lampinen
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    CVIU
    2000
    59views more  CVIU 2000»
    Modeling Parameter Space Behavior of Vision Systems Using Bayesian Networks
    15 years 3 months ago
    Modeling Parameter Space Behavior of Vision Systems Using Bayesian Networks
    Download  marathon.csee.usf.edu
    Sudeep Sarkar, Srikanth Chavali
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    107
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    JCB
    2000
    75views more  JCB 2000»
    A Bayesian Model for Detecting Past Recombination Events in DNA Multiple Alignments
    15 years 3 months ago
    A Bayesian Model for Detecting Past Recombination Events in DNA Multiple Alignments
    Download  www.newton.ac.uk
    Gráinne McGuire, Frank Wright, Michael J. P...
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    80
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    JCISD
    2000
    63views more  JCISD 2000»
    Symbolic, Neural, and Bayesian Machine Learning Models for Predicting Carcinogenicity of Chemical Compounds
    15 years 3 months ago
    Symbolic, Neural, and Bayesian Machine Learning Models for Predicting Carcinogenicity of Chemical Compounds
    Download  www4.ncsu.edu
    Dennis Bahler, Brian Stone, Carol Wellington, Doug...
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