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    BMCBI
    2006
    122views more  BMCBI 2006»
    A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets
    13 years 8 months ago
    A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets
    Download  www.biomedcentral.com
    Background: Gene selection is an important step when building predictors of disease state based on gene expression data. Gene selection generally improves performance and identifi...
    Carmen Lai, Marcel J. T. Reinders, Laura J. van't ...
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    SIGIR
    2009
    ACM
    115views Information Technology» more  SIGIR 2009»
    SUSHI: scoring scaled samples for server selection
    14 years 3 months ago
    SUSHI: scoring scaled samples for server selection
    Download  es.csiro.au
    Modern techniques for distributed information retrieval use a set of documents sampled from each server, but these samples have been underutilised in server selection. We describe...
    Paul Thomas, Milad Shokouhi
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    INFOCOM
    2007
    IEEE
    98views Communications» more  INFOCOM 2007»
    Path Selection and Multipath Congestion Control
    14 years 3 months ago
    Path Selection and Multipath Congestion Control
    Download  www.thlab.net
    — In this paper we investigate the potential benefits of coordinated congestion control for multipath data transfers, and contrast with uncoordinated control. For static random ...
    Peter B. Key, Laurent Massoulié, Donald F. ...
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    NLE
    2008
    140views more  NLE 2008»
    Active learning and logarithmic opinion pools for HPSG parse selection
    13 years 8 months ago
    Active learning and logarithmic opinion pools for HPSG parse selection
    Download  homepages.inf.ed.ac.uk
    For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
    Jason Baldridge, Miles Osborne
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    EMNETS
    2007
    148views Sensor Networks» more  EMNETS 2007»
    An HMM framework for optimal sensor selection with applications to BSN sensor glove design
    14 years 22 days ago
    An HMM framework for optimal sensor selection with applications to BSN sensor glove design
    Download  www.doc.ic.ac.uk
    Laparoscopic surgical training is a challenging task due to the complexity of instrument control and demand on manual dexterity and hand-eye coordination. Currently, training and ...
    Rachel C. King, Louis Atallah, Ara Darzi, Guang-Zh...
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