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    CORR
    2010
    Springer
    93views Education» more  CORR 2010»
    On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary
    14 years 10 months ago
    On MMSE and MAP Denoising Under Sparse Representation Modeling Over a Unitary Dictionary
    Download  www.cs.technion.ac.il
    Among the many ways to model signals, a recent approach that draws considerable attention is sparse representation modeling. In this model, the signal is assumed to be generated a...
    Javier Turek, Irad Yavneh, Matan Protter, Michael ...
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    AAAI
    2006
    129views Intelligent Agents» more  AAAI 2006»
    A Characterization of Interventional Distributions in Semi-Markovian Causal Models
    14 years 11 months ago
    A Characterization of Interventional Distributions in Semi-Markovian Causal Models
    Download  ftp.cs.ucla.edu
    We offer a complete characterization of the set of distributions that could be induced by local interventions on variables governed by a causal Bayesian network of unknown structu...
    Jin Tian, Changsung Kang, Judea Pearl
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    IJCAI
    2007
    189views Artificial Intelligence» more  IJCAI 2007»
    A Bayesian Computational Cognitive Model
    14 years 11 months ago
    A Bayesian Computational Cognitive Model
    Download  sunsite.informatik.rwth-aachen.de
    Computational cognitive modeling has recently emerged as one of the hottest issues in the AI area. Both symbolic approaches and connectionist approaches present their merits and d...
    Zhiwei Shi, Hong Hu, Zhongzhi Shi
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    FLAIRS
    2006
    111views Artificial Intelligence» more  FLAIRS 2006»
    Modeling Bayesian Networks for Autonomous Diagnosis of Web Services
    14 years 11 months ago
    Modeling Bayesian Networks for Autonomous Diagnosis of Web Services
    Download  www.aaai.org
    We took an innovative approach to service level management for network enterprise systems by using integrated monitoring, diagnostics, and adaptation services in a service-oriente...
    Haiqin Wang, Guijun Wang, Alice Chen, Changzhou Wa...
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    NIPS
    2007
    145views Information Technology» more  NIPS 2007»
    Comparing Bayesian models for multisensory cue combination without mandatory integration
    14 years 11 months ago
    Comparing Bayesian models for multisensory cue combination without mandatory integration
    Download  shamslab.psych.ucla.edu
    Bayesian models of multisensory perception traditionally address the problem of estimating an underlying variable that is assumed to be the cause of the two sensory signals. The b...
    Ulrik Beierholm, Konrad P. Körding, Ladan Sha...
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