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    JMLR
    2010
    148views more  JMLR 2010»
    A Generalized Path Integral Control Approach to Reinforcement Learning
    13 years 2 months ago
    A Generalized Path Integral Control Approach to Reinforcement Learning
    Download  jmlr.csail.mit.edu
    With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
    Evangelos Theodorou, Jonas Buchli, Stefan Schaal
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    JUCS
    2006
    112views more  JUCS 2006»
    A Multi-objective Genetic Approach to Mapping Problem on Network-on-Chip
    13 years 7 months ago
    A Multi-objective Genetic Approach to Mapping Problem on Network-on-Chip
    Download  www.jucs.org
    Abstract: Advances in technology now make it possible to integrate hundreds of cores (e.g. general or special purpose processors, embedded memories, application specific components...
    Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi
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    ICIP
    2008
    IEEE
    198views Image Processing» more  ICIP 2008»
    Peer-to-peer multicast live video streaming with interactive virtual pan/tilt/zoom functionality
    14 years 9 months ago
    Peer-to-peer multicast live video streaming with interactive virtual pan/tilt/zoom functionality
    Download  www.stanford.edu
    Video streaming with virtual pan/tilt/zoom functionality allows the viewer to watch arbitrary regions of a high-spatial-resolution scene. In our proposed system, the user controls...
    Aditya Mavlankar, Jeonghun Noh, Pierpaolo Bacciche...
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    DAC
    2006
    ACM
    162views Computer Architecture» more  DAC 2006»
    Statistical timing analysis with correlated non-gaussian parameters using independent component analysis
    14 years 8 months ago
    Statistical timing analysis with correlated non-gaussian parameters using independent component analysis
    Download  www.ece.umn.edu
    We propose a scalable and efficient parameterized block-based statistical static timing analysis algorithm incorporating both Gaussian and non-Gaussian parameter distributions, ca...
    Jaskirat Singh, Sachin S. Sapatnekar
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    KDD
    2003
    ACM
    175views Data Mining» more  KDD 2003»
    Weighted Association Rule Mining using weighted support and significance framework
    14 years 7 months ago
    Weighted Association Rule Mining using weighted support and significance framework
    Download  eprints.ecs.soton.ac.uk
    We address the issues of discovering significant binary relationships in transaction datasets in a weighted setting. Traditional model of association rule mining is adapted to han...
    Feng Tao, Fionn Murtagh, Mohsen Farid
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