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    UAI
    2004
    85views Artificial Intelligence» more  UAI 2004»
    On Modeling Profiles Instead of Values
    14 years 11 months ago
    On Modeling Profiles Instead of Values
    Download  uai.sis.pitt.edu
    We consider the problem of estimating the distribution underlying an observed sample of data. Instead of maximum likelihood, which maximizes the probability of the observed values...
    Alon Orlitsky, Narayana P. Santhanam, Krishnamurth...
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    UAI
    2004
    92views Artificial Intelligence» more  UAI 2004»
    Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials
    14 years 11 months ago
    Hybrid Influence Diagrams Using Mixtures of Truncated Exponentials
    Download  web.ku.edu
    Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for representing continuous chance variables in influence diagrams. Also, MTE potentials c...
    Barry R. Cobb, Prakash P. Shenoy
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    UAI
    2004
    134views Artificial Intelligence» more  UAI 2004»
    Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
    14 years 11 months ago
    Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
    Download  www.stat.ualberta.ca
    A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
    Peter Hooper
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    UAI
    2004
    110views Artificial Intelligence» more  UAI 2004»
    Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty
    14 years 11 months ago
    Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty
    Download  www.cs.toronto.edu
    Mechanism design has found considerable application to the construction of agent-interaction protocols. In the standard setting, the type (e.g., utility function) of an agent is n...
    Nathanael Hyafil, Craig Boutilier
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    UAI
    2004
    189views Artificial Intelligence» more  UAI 2004»
    A Bayesian Approach toward Active Learning for Collaborative Filtering
    14 years 11 months ago
    A Bayesian Approach toward Active Learning for Collaborative Filtering
    Download  www.cs.cmu.edu
    Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
    Rong Jin, Luo Si
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