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    UAI
    2004
    97views Artificial Intelligence» more  UAI 2004»
    Probabilistic Index Maps for Modeling Natural Signals
    14 years 1 months ago
    Probabilistic Index Maps for Modeling Natural Signals
    Download  www.ee.columbia.edu
    One of the major problems in modeling natural signals is that signals with very similar structure may locally have completely different measurements, e.g., images taken under diff...
    Nebojsa Jojic, Yaron Caspi, Manuel Reyes-Gomez
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    UAI
    2004
    189views Artificial Intelligence» more  UAI 2004»
    A Bayesian Approach toward Active Learning for Collaborative Filtering
    14 years 1 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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    UAI
    2004
    110views Artificial Intelligence» more  UAI 2004»
    Regret Minimizing Equilibria and Mechanisms for Games with Strict Type Uncertainty
    14 years 1 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
    137views Artificial Intelligence» more  UAI 2004»
    Dynamical Systems Trees
    14 years 1 months ago
    Dynamical Systems Trees
    Download  www.cs.columbia.edu
    We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...
    Andrew Howard, Tony Jebara
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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 1 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
    98views Artificial Intelligence» more  UAI 2004»
    From Fields to Trees
    14 years 1 months ago
    From Fields to Trees
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    We present new MCMC algorithms for computing the posterior distributions and expectations of the unknown variables in undirected graphical models with regular structure. For demon...
    Firas Hamze, Nando de Freitas
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    UAI
    2004
    195views Artificial Intelligence» more  UAI 2004»
    Solving Factored MDPs with Continuous and Discrete Variables
    14 years 1 months ago
    Solving Factored MDPs with Continuous and Discrete Variables
    Download  www.cs.pitt.edu
    Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
    Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
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    UAI
    2004
    84views Artificial Intelligence» more  UAI 2004»
    Exploiting First-Order Regression in Inductive Policy Selection
    14 years 1 months ago
    Exploiting First-Order Regression in Inductive Policy Selection
    Download  eecs.oregonstate.edu
    Charles Gretton, Sylvie Thiébaux
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    UAI
    2004
    169views Artificial Intelligence» more  UAI 2004»
    A Complete Anytime Algorithm for Treewidth
    14 years 1 months ago
    A Complete Anytime Algorithm for Treewidth
    Download  www.ics.uci.edu
    In this paper, we present a Branch and Bound algorithm called QuickBB for computing the treewidth of an undirected graph. This algorithm performs a search in the space of perfect ...
    Vibhav Gogate, Rina Dechter
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    UAI
    2004
    149views Artificial Intelligence» more  UAI 2004»
    Algebraic Statistics in Model Selection
    14 years 1 months ago
    Algebraic Statistics in Model Selection
    Download  www.shsu.edu
    We develop the necessary theory in computational algebraic geometry to place Bayesian networks into the realm of algebraic statistics. We present an algebra
    Luis David Garcia
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