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    BMCBI
    2010
    208views more  BMCBI 2010»
    Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
    14 years 10 months ago
    Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
    Download  www.biomedcentral.com
    Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
    Zafer Aydin, John I. Murray, Robert H. Waterston, ...
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    BMCBI
    2008
    142views more  BMCBI 2008»
    Genetic weighted k-means algorithm for clustering large-scale gene expression data
    14 years 10 months ago
    Genetic weighted k-means algorithm for clustering large-scale gene expression data
    Download  www.biomedcentral.com
    Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
    Fang-Xiang Wu
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    JFP
    2008
    72views more  JFP 2008»
    Dynamic rebinding for marshalling and update, via redex-time and destruct-time reduction
    14 years 10 months ago
    Dynamic rebinding for marshalling and update, via redex-time and destruct-time reduction
    Download  www.cl.cam.ac.uk
    Most programming languages adopt static binding, but for distributed programming an exclusive reliance on static binding is too restrictive: dynamic binding is required in various...
    Peter Sewell, Gareth Stoyle, Michael Hicks, Gavin ...
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    SIGMETRICS
    2008
    ACM
    73views Hardware» more  SIGMETRICS 2008»
    Ironmodel: robust performance models in the wild
    14 years 10 months ago
    Ironmodel: robust performance models in the wild
    Download  www.pdl.cmu.edu
    Traditional performance models are too brittle to be relied on for continuous capacity planning and performance debugging in many computer systems. Simply put, a brittle model is ...
    Eno Thereska, Gregory R. Ganger
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    AIM
    2005
    167views Software Engineering» more  AIM 2005»
    Semantic Integration in Text: From Ambiguous Names to Identifiable Entities
    14 years 10 months ago
    Semantic Integration in Text: From Ambiguous Names to Identifiable Entities
    Download  l2r.cs.uiuc.edu
    Intelligent access to information requires semantic integration of structured databases with unstructured textual resources. While the semantic integration problem has been widely...
    Xin Li, Paul Morie, Dan Roth
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