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    SARA
    2007
    Springer
    167views Artificial Intelligence» more  SARA 2007»
    Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
    14 years 1 months ago
    Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
    Download  www-anw.cs.umass.edu
    Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
    Anders Jonsson, Andrew G. Barto
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    ICIP
    2007
    IEEE
    260views Image Processing» more  ICIP 2007»
    Extrapolating Learned Manifolds for Human Activity Recognition
    14 years 9 months ago
    Extrapolating Learned Manifolds for Human Activity Recognition
    Download  tahiti.mis.informatik.tu-darmstadt.de
    The problem of human activity recognition via visual stimuli can be approached using manifold learning, since the silhouette (binary) images of a person undergoing a smooth motion...
    Tat-Jun Chin, Liang Wang, Konrad Schindler, David ...
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    JMLR
    2006
    140views more  JMLR 2006»
    Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
    13 years 7 months ago
    Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
    Download  jmlr.csail.mit.edu
    The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
    Masashi Sugiyama
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    CVPR
    2007
    IEEE
    182views Computer Vision» more  CVPR 2007»
    From Videos to Verbs: Mining Videos for Activities using a Cascade of Dynamical Systems
    14 years 9 months ago
    From Videos to Verbs: Mining Videos for Activities using a Cascade of Dynamical Systems
    Download  www.umiacs.umd.edu
    Clustering video sequences in order to infer and extract activities from a single video stream is an extremely important problem and has significant potential in video indexing, s...
    Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
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    UAI
    2004
    189views Artificial Intelligence» more  UAI 2004»
    A Bayesian Approach toward Active Learning for Collaborative Filtering
    13 years 9 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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