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    BMCBI
    2008
    100views more  BMCBI 2008»
    Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen p
    13 years 10 months ago
    Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen p
    Download  www.biomedcentral.com
    Background: T-cell epitopes that promiscuously bind to multiple alleles of a human leukocyte antigen (HLA) supertype are prime targets for development of vaccines and immunotherap...
    Guanglan Zhang, Asif M. Khan, Kellathur N. Sriniva...
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    BMCBI
    2005
    152views more  BMCBI 2005»
    Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
    13 years 10 months ago
    Improved profile HMM performance by assessment of critical algorithmic features in SAM and HMMER
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    Background: Profile hidden Markov model (HMM) techniques are among the most powerful methods for protein homology detection. Yet, the critical features for successful modelling ar...
    Markus Wistrand, Erik L. L. Sonnhammer
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    JMLR
    2012
    221views Programming Languages» more  JMLR 2012»
    Random Search for Hyper-Parameter Optimization
    12 years 16 days ago
    Random Search for Hyper-Parameter Optimization
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    Grid search and manual search are the most widely used strategies for hyper-parameter optimization. This paper shows empirically and theoretically that randomly chosen trials are ...
    James Bergstra, Yoshua Bengio
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    DATE
    2009
    IEEE
    116views Hardware» more  DATE 2009»
    An MDE methodology for the development of high-integrity real-time systems
    14 years 4 months ago
    An MDE methodology for the development of high-integrity real-time systems
    Download  www.date-conference.com
    —This paper reports on experience gained and lessons learned from an intensive investigation of model-driven engineering methodology and technology for application to high-integr...
    Silvia Mazzini, Stefano Puri, Tullio Vardanega
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    IJAR
    2008
    161views more  IJAR 2008»
    Bayesian learning for a class of priors with prescribed marginals
    13 years 10 months ago
    Bayesian learning for a class of priors with prescribed marginals
    Download  www.stat.uni-muenchen.de
    We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
    Hermann Held, Thomas Augustin, Elmar Kriegler
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