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    IPM
    2008
    100views more  IPM 2008»
    Query-level loss functions for information retrieval
    13 years 9 months ago
    Query-level loss functions for information retrieval
    Download  research.microsoft.com
    Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...
    Tao Qin, Xu-Dong Zhang, Ming-Feng Tsai, De-Sheng W...
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    NAR
    2007
    135views more  NAR 2007»
    g: Profiler - a web-based toolset for functional profiling of gene lists from large-scale experiments
    13 years 9 months ago
    g: Profiler - a web-based toolset for functional profiling of gene lists from large-scale experiments
    Download  emu.at.mt.ut.ee
    g:Profiler (http://biit.cs.ut.ee/gprofiler/) is a public web server for characterising and manipulating gene lists resulting from mining high-throughput genomic data. g:Profiler h...
    Jüri Reimand, Meelis Kull, Hedi Peterson, Jaa...
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    NAR
    2011
    374views Computer Vision» more  NAR 2011»
    The BioGRID Interaction Database: 2011 update
    13 years 4 months ago
    The BioGRID Interaction Database: 2011 update
    Download  nar.oxfordjournals.org
    The Biological General Repository for Interaction Datasets (BioGRID) is a public database that archives and disseminates genetic and protein interaction data from model organisms ...
    Chris Stark, Bobby-Joe Breitkreutz, Andrew Chatr-a...
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    ICDCS
    2008
    IEEE
    175views Distributed And Parallel Com...» more  ICDCS 2008»
    Correlation-Aware Object Placement for Multi-Object Operations
    14 years 4 months ago
    Correlation-Aware Object Placement for Multi-Object Operations
    Download  www.cs.rochester.edu
    A multi-object operation incurs communication or synchronization overhead when the requested objects are distributed over different nodes. The object pair correlations (the probab...
    Ming Zhong, Kai Shen, Joel I. Seiferas
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    KCAP
    2003
    ACM
    281views Information Technology» more  KCAP 2003»
    Capturing interest through inference and visualization: ontological user profiling in recommender systems
    14 years 3 months ago
    Capturing interest through inference and visualization: ontological user profiling in recommender systems
    Download  eprints.ecs.soton.ac.uk
    Tools for filtering the World Wide Web exist, but they are hampered by the difficulty of capturing user preferences in such a diverse and dynamic environment. Recommender systems ...
    Stuart E. Middleton, Nigel R. Shadbolt, David De R...
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