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    UAI
    2008
    221views Artificial Intelligence» more  UAI 2008»
    Learning the Bayesian Network Structure: Dirichlet Prior vs Data
    13 years 9 months ago
    Learning the Bayesian Network Structure: Dirichlet Prior vs Data
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    Harald Steck
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    UAI
    2008
    177views Artificial Intelligence» more  UAI 2008»
    Identifying Optimal Sequential Decisions
    13 years 9 months ago
    Identifying Optimal Sequential Decisions
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    A. Philip Dawid, Vanessa Didelez
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    UAI
    2008
    187views Artificial Intelligence» more  UAI 2008»
    Gibbs Sampling in Factorized Continuous-Time Markov Processes
    13 years 9 months ago
    Gibbs Sampling in Factorized Continuous-Time Markov Processes
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    Tal El-Hay, Nir Friedman, Raz Kupferman
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    UAI
    2008
    180views Artificial Intelligence» more  UAI 2008»
    Causal discovery of linear acyclic models with arbitrary distributions
    13 years 9 months ago
    Causal discovery of linear acyclic models with arbitrary distributions
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    An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
    Patrik O. Hoyer, Aapo Hyvärinen, Richard Sche...
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    UAI
    2008
    198views Artificial Intelligence» more  UAI 2008»
    Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression
    13 years 9 months ago
    Greedy Block Coordinate Descent for Large Scale Gaussian Process Regression
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    We propose a variable decomposition algorithm
    Liefeng Bo, Cristian Sminchisescu
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    UAI
    2008
    201views Artificial Intelligence» more  UAI 2008»
    Clique Matrices for Statistical Graph Decomposition and Parameterising Restricted Positive Definite Matrices
    13 years 9 months ago
    Clique Matrices for Statistical Graph Decomposition and Parameterising Restricted Positive Definite Matrices
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    We introduce Clique Matrices as an alternative representation of undirected graphs, being a generalisation of the incidence matrix representation. Here we use clique matrices to d...
    David Barber
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    UAI
    2008
    181views Artificial Intelligence» more  UAI 2008»
    Learning When to Take Advice: A Statistical Test for Achieving A Correlated Equilibrium
    13 years 9 months ago
    Learning When to Take Advice: A Statistical Test for Achieving A Correlated Equilibrium
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    We study a multiagent learning problem where agents can either learn via repeated interactions, or can follow the advice of a mediator who suggests possible actions to take. We pr...
    Greg Hines, Kate Larson
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    UAI
    2008
    219views Artificial Intelligence» more  UAI 2008»
    On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach
    13 years 9 months ago
    On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach
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    Mathias Niepert, Dirk Van Gucht, Marc Gyssens
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    UAI
    2008
    224views Artificial Intelligence» more  UAI 2008»
    Explanation Trees for Causal Bayesian Networks
    13 years 9 months ago
    Explanation Trees for Causal Bayesian Networks
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    Bayesian networks can be used to extract explanations about the observed state of a subset of variables. In this paper, we explicate the desiderata of an explanation and confront ...
    Ulf H. Nielsen, Jean-Philippe Pellet, André...
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    UAI
    2008
    261views Artificial Intelligence» more  UAI 2008»
    Cumulative distribution networks and the derivative-sum-product algorithm
    13 years 9 months ago
    Cumulative distribution networks and the derivative-sum-product algorithm
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    We introduce a new type of graphical model called a `cumulative distribution network' (CDN), which expresses a joint cumulative distribution as a product of local functions. ...
    Jim C. Huang, Brendan J. Frey
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