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    DELFI
    2006
    193views Knowledge Management» more  DELFI 2006»
    Mobile Learning is Coming of Age - What we have and what we still miss
    15 years 4 days ago
    Mobile Learning is Coming of Age - What we have and what we still miss
    Download  www.ifi.uzh.ch
    : Mobile learning has left the status of a new born child. It is time now to implement some structure into the complex and various activities by a framework presented in this paper...
    Dirk Frohberg
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    DMIN
    2006
    131views Data Mining» more  DMIN 2006»
    Use of Data Mining to Determine Cheating in Online Student Assessment
    15 years 4 days ago
    Use of Data Mining to Determine Cheating in Online Student Assessment
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    are proposing a model to help organizations detect and prevent cheats in online assessments. First we analyze different student personalities, stress situations generated by onlin...
    Alberto Ochoa, Amol Wagholikar
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    NIPS
    1998
    130views Information Technology» more  NIPS 1998»
    Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
    15 years 3 days ago
    Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
    Download  www.cns.nyu.edu
    We examine the statistics of natural monochromatic images decomposed using a multi-scale wavelet basis. Although the coefficients of this representation are nearly decorrelated, t...
    Eero P. Simoncelli, Odelia Schwartz
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    NIPS
    1997
    208views Information Technology» more  NIPS 1997»
    Extended ICA Removes Artifacts from Electroencephalographic Recordings
    15 years 2 days ago
    Extended ICA Removes Artifacts from Electroencephalographic Recordings
    Download  papers.cnl.salk.edu
    Severe contamination of electroencephalographic (EEG) activity by eye movements, blinks, muscle, heart and line noise is a serious problem for EEG interpretation and analysis. Rej...
    Tzyy-Ping Jung, Colin Humphries, Te-Won Lee, Scott...
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    NIPS
    1997
    96views Information Technology» more  NIPS 1997»
    Learning Generative Models with the Up-Propagation Algorithm
    15 years 2 days ago
    Learning Generative Models with the Up-Propagation Algorithm
    Download  hebb.mit.edu
    Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
    Jong-Hoon Oh, H. Sebastian Seung
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