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    ICMLA
    2008
    88views Machine Learning» more  ICMLA 2008»
    Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint
    13 years 9 months ago
    Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint
    Download  user.cs.tu-berlin.de
    The basic idea of Lucas and Kanade is to constrain the local motion measurement by assuming a constant velocity within a spatial neighborhood. We reformulate this spatial constrai...
    Volker Willert, Julian Eggert, Marc Toussaint, Edg...
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    ICONIP
    2008
    157views Information Technology» more  ICONIP 2008»
    The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method
    13 years 9 months ago
    The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method
    Download  ani.www.techfak.uni-bielefeld.de
    Abstract. The concept of Ensemble Learning has been shown to increase predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char...
    Alexandra Scherbart, Tim W. Nattkemper
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    NIPS
    2008
    130views Information Technology» more  NIPS 2008»
    Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation
    13 years 9 months ago
    Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation
    Download  eprints.pascal-network.org
    Actor-critic algorithms for reinforcement learning are achieving renewed popularity due to their good convergence properties in situations where other approaches often fail (e.g.,...
    Dotan Di Castro, Dmitry Volkinshtein, Ron Meir
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    NIPS
    2007
    140views Information Technology» more  NIPS 2007»
    Learning with Tree-Averaged Densities and Distributions
    13 years 9 months ago
    Learning with Tree-Averaged Densities and Distributions
    Download  books.nips.cc
    We utilize the ensemble of trees framework, a tractable mixture over superexponential number of tree-structured distributions [1], to develop a new model for multivariate density ...
    Sergey Kirshner
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    UAI
    2008
    203views Artificial Intelligence» more  UAI 2008»
    Strategy Selection in Influence Diagrams using Imprecise Probabilities
    13 years 9 months ago
    Strategy Selection in Influence Diagrams using Imprecise Probabilities
    Download  uai2008.cs.helsinki.fi
    This paper describes a new algorithm to solve the decision making problem in Influence Diagrams based on algorithms for credal networks. Decision nodes are associated to imprecise...
    Cassio Polpo de Campos, Qiang Ji
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