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    MBEES
    2008
    150views Embedded Systems» more  MBEES 2008»
    Composition of Model-based Test Coverage Criteria
    13 years 11 months ago
    Composition of Model-based Test Coverage Criteria
    Download  user.cs.tu-berlin.de
    : In this paper, we discuss adjustable coverage criteria and their combinations in model-based testing. We formalize coverage criteria and specify test goals using OCL. Then, we pr...
    Mario Friske, Bernd-Holger Schlingloff, Stephan We...
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    IQ
    2007
    93views Information Technology» more  IQ 2007»
    In Search Of An Accuracy Metric
    13 years 11 months ago
    In Search Of An Accuracy Metric
    Download  mitiq.mit.edu
    Practitioners and researchers often refer to error rates or accuracy percentages of databases. The former is the number of cells in error divided by the total number of cells; the...
    Craig W. Fisher, Eitel J. M. Lauría, Caroly...
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    NIPS
    2007
    267views Information Technology» more  NIPS 2007»
    People Tracking with the Laplacian Eigenmaps Latent Variable Model
    13 years 11 months ago
    People Tracking with the Laplacian Eigenmaps Latent Variable Model
    Download  books.nips.cc
    Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
    Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
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    RSS
    2007
    176views Robotics» more  RSS 2007»
    Active Policy Learning for Robot Planning and Exploration under Uncertainty
    13 years 11 months ago
    Active Policy Learning for Robot Planning and Exploration under Uncertainty
    Download  www.roboticsproceedings.org
    Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
    Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
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    ESANN
    2006
    140views Neural Networks» more  ESANN 2006»
    Magnification control for batch neural gas
    13 years 11 months ago
    Magnification control for batch neural gas
    Download  www2.in.tu-clausthal.de
    Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
    Barbara Hammer, Alexander Hasenfuss, Thomas Villma...
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