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    NIPS
    1998
    138views Information Technology» more  NIPS 1998»
    Dynamically Adapting Kernels in Support Vector Machines
    13 years 6 months ago
    Dynamically Adapting Kernels in Support Vector Machines
    Download  www.support-vector.net
    The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its choice amounts to model selection...
    Nello Cristianini, Colin Campbell, John Shawe-Tayl...
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    IPPS
    2007
    IEEE
    172views Distributed And Parallel Com...» more  IPPS 2007»
    Security Threat Prediction in a Local Area Network Using Statistical Model
    13 years 11 months ago
    Security Threat Prediction in a Local Area Network Using Statistical Model
    Download  www.cecs.uci.edu
    In today’s large and complex network scenario vulnerability scanners play a major role from security perspective by proactively identifying the known security problems or vulner...
    Somak Bhattacharya, S. K. Ghosh
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    WSC
    2001
    103views Modeling And Simulation» more  WSC 2001»
    Quantile and histogram estimation
    13 years 6 months ago
    Quantile and histogram estimation
    Download  www.informs-sim.org
    This paper discusses implementation of a sequential procedure to construct proportional half-width confidence intervals for a simulation estimator of the steady-state quantiles an...
    E. Jack Chen, W. David Kelton
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    PERCOM
    2006
    ACM
    112views Computer Networks» more  PERCOM 2006»
    Proximity Based Access Control in Smart-Emergency Departments
    14 years 4 months ago
    Proximity Based Access Control in Smart-Emergency Departments
    Download  impact.asu.edu
    In this paper, we propose a Proximity Based automated Access Control (PBAC) model for smart-ED environments which improves the existing ED work-flow by automating mundane administ...
    Sandeep K. S. Gupta, Tridib Mukherjee, Krishna K. ...
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    BMCBI
    2007
    146views more  BMCBI 2007»
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
    13 years 5 months ago
    Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
    Download  www.biomedcentral.com
    Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
    Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...
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