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    ICMCS
    2005
    IEEE
    134views Multimedia» more  ICMCS 2005»
    Hidden Markov Model Based Characterization of Content Access Patterns in an e-Learning Environment
    14 years 3 months ago
    Hidden Markov Model Based Characterization of Content Access Patterns in an e-Learning Environment
    Download  www.cecs.uci.edu
    : Personalized Education (PE) emphasizes the importance of individual differences in learning. To deliver personalized e-learning services and content, PE encompasses the abilities...
    Apple W. P. Fok, H. S. Wong, Y. S. Chen
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    EMNLP
    2009
    165views Natural Language Processing» more  EMNLP 2009»
    Automatically Evaluating Content Selection in Summarization without Human Models
    13 years 7 months ago
    Automatically Evaluating Content Selection in Summarization without Human Models
    Download  www.aclweb.org
    We present a fully automatic method for content selection evaluation in summarization that does not require the creation of human model summaries. Our work capitalizes on the assu...
    Annie Louis, Ani Nenkova
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    WWW
    2009
    ACM
    185views Internet Technology» more  WWW 2009»
    Personalized recommendation on dynamic content using predictive bilinear models
    14 years 10 months ago
    Personalized recommendation on dynamic content using predictive bilinear models
    Download  www2009.eprints.org
    In Web-based services of dynamic content (such as news articles), recommender systems face the difficulty of timely identifying new items of high-quality and providing recommendat...
    Wei Chu, Seung-Taek Park
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    SIAMCOMP
    1998
    117views more  SIAMCOMP 1998»
    The Queue-Read Queue-Write PRAM Model: Accounting for Contention in Parallel Algorithms
    13 years 9 months ago
    The Queue-Read Queue-Write PRAM Model: Accounting for Contention in Parallel Algorithms
    Download  theory.stanford.edu
    This paper introduces the queue-read, queue-write (qrqw) parallel random access machine (pram) model, which permits concurrent reading and writing to shared memory locations, but ...
    Phillip B. Gibbons, Yossi Matias, Vijaya Ramachand...
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    CVIU
    2008
    126views more  CVIU 2008»
    Optimising dynamic graphical models for video content analysis
    13 years 9 months ago
    Optimising dynamic graphical models for video content analysis
    Download  www.eecs.qmul.ac.uk
    A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
    Tao Xiang, Shaogang Gong
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