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    PPOPP
    2009
    ACM
    184views Distributed and Parallel Com...» more  PPOPP 2009»
    Mapping parallelism to multi-cores: a machine learning based approach
    14 years 8 months ago
    Mapping parallelism to multi-cores: a machine learning based approach
    Download  homepages.inf.ed.ac.uk
    The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
    Zheng Wang, Michael F. P. O'Boyle
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    BMCBI
    2007
    153views more  BMCBI 2007»
    A new pairwise kernel for biological network inference with support vector machines
    13 years 7 months ago
    A new pairwise kernel for biological network inference with support vector machines
    Download  www.biomedcentral.com
    Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
    Jean-Philippe Vert, Jian Qiu, William Stafford Nob...
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    IICAI
    2003
    190views Artificial Intelligence» more  IICAI 2003»
    Machine Learning in Infrastructure Security
    13 years 9 months ago
    Machine Learning in Infrastructure Security
    Download  www.iiconference.org
    Abstract: Democratic societies throughout the world, it appears, are facing a new type of threat dubbed "asymmetric threat." In this new threat environment the world gove...
    V. Rao Vemuri
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    IJCNN
    2007
    IEEE
    222views Neural Networks» more  IJCNN 2007»
    Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
    14 years 2 months ago
    Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
    Download  theoval.cmp.uea.ac.uk
    Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
    Gavin C. Cawley, Nicola L. C. Talbot
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    BMCBI
    2008
    220views more  BMCBI 2008»
    Gene prediction in metagenomic fragments: A large scale machine learning approach
    13 years 8 months ago
    Gene prediction in metagenomic fragments: A large scale machine learning approach
    Download  www.biomedcentral.com
    Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
    Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
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