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    ICMLA
    2008
    145views Machine Learning» more  ICMLA 2008»
    Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
    13 years 9 months ago
    Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
    Download  www.cis.pku.edu.cn
    Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
    Tong Lin, Laura Cervino, Xiaoli Tang, Nuno Vasconc...
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    ISMB
    2004
    125views Computational Biology» more  ISMB 2004»
    Predicting gene regulation by sigma factors in Bacillus subtilis from genome-wide data
    13 years 9 months ago
    Predicting gene regulation by sigma factors in Bacillus subtilis from genome-wide data
    Download  bonsai.hgc.jp
    Motivation: Sigma factors regulate the expression of genes in Bacillus subtilis at the transcriptional level. First we assess the ability of currently available gene regulatory ne...
    Michiel J. L. de Hoon, Yuko Makita, Seiya Imoto, K...
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    PDCN
    2004
    148views Distributed And Parallel Com...» more  PDCN 2004»
    Quality-of-service provisioning system for multimedia transmission in IEEE 802.11 wireless lans
    13 years 9 months ago
    Quality-of-service provisioning system for multimedia transmission in IEEE 802.11 wireless lans
    Download  ant.comm.ccu.edu.tw
    IEEE 802.11, the standard of wireless local area networks (WLANs), allows the coexistence of asynchronous and time-bounded traffic using the distributed coordination function (DCF)...
    Joseph Deng, Hsu-Chun Yen
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    OPODIS
    2003
    112views Distributed And Parallel Com...» more  OPODIS 2003»
    Multiple Agents RendezVous in a Ring in Spite of a Black Hole
    13 years 9 months ago
    Multiple Agents RendezVous in a Ring in Spite of a Black Hole
    Download  www.site.uottawa.ca
    The Rendezvous of anonymous mobile agents in a anonymous network is an intensively studied problem; it calls for k anonymous, mobile agents to gather in the same site. We study thi...
    Stefan Dobrev, Paola Flocchini, Giuseppe Prencipe,...
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    SDM
    2003
    SIAM
    184views Data Mining» more  SDM 2003»
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    13 years 9 months ago
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    Download  www-users.cs.umn.edu
    The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
    Levent Ertöz, Michael Steinbach, Vipin Kumar
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