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    JCB
    2006
    185views more  JCB 2006»
    A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
    14 years 9 months ago
    A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
    Download  www.math.tau.ac.il
    Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
    Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
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    ALIFE
    2010
    122views Modeling And Simulation» more  ALIFE 2010»
    Modeling Social Learning of Language and Skills
    14 years 8 months ago
    Modeling Social Learning of Language and Skills
    Download  ilk.uvt.nl
    We present a model of social learning of both language and skills, while assuming—insofar as possible—strict autonomy, virtual embodiment, and situatedness. This model is built...
    Paul Vogt, Evert Haasdijk
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    AAAI
    2012
    224views Intelligent Agents» more  AAAI 2012»
    Learning from Demonstration for Goal-Driven Autonomy
    12 years 12 months ago
    Learning from Demonstration for Goal-Driven Autonomy
    Download  users.soe.ucsc.edu
    Goal-driven autonomy (GDA) is a conceptual model for creating an autonomous agent that monitors a set of expectations during plan execution, detects when discrepancies occur, buil...
    Ben George Weber, Michael Mateas, Arnav Jhala
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    PAMI
    2006
    215views more  PAMI 2006»
    Bayesian Feature and Model Selection for Gaussian Mixture Models
    14 years 9 months ago
    Bayesian Feature and Model Selection for Gaussian Mixture Models
    Download  www.cs.uoi.gr
    We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
    Constantinos Constantinopoulos, Michalis K. Titsia...
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    ICML
    1996
    IEEE
    159views Machine Learning» more  ICML 1996»
    Discretizing Continuous Attributes While Learning Bayesian Networks
    15 years 10 months ago
    Discretizing Continuous Attributes While Learning Bayesian Networks
    Download  www.cs.huji.ac.il
    We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
    Moisés Goldszmidt, Nir Friedman
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