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    ACL
    2012
    182views Computational Linguistics» more  ACL 2012»
    Prediction of Learning Curves in Machine Translation
    11 years 8 months ago
    Prediction of Learning Curves in Machine Translation
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    Parallel data in the domain of interest is the key resource when training a statistical machine translation (SMT) system for a specific purpose. Since ad-hoc manual translation c...
    Prasanth Kolachina, Nicola Cancedda, Marc Dymetman...
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    NN
    2006
    Springer
    163views Neural Networks» more  NN 2006»
    Machine learning approaches for estimation of prediction interval for the model output
    13 years 5 months ago
    Machine learning approaches for estimation of prediction interval for the model output
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    A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
    Durga L. Shrestha, Dimitri P. Solomatine
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    BMCBI
    2008
    123views more  BMCBI 2008»
    Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
    13 years 5 months ago
    Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
    Download  www.biomedcentral.com
    Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
    Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...
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    IJON
    2010
    148views more  IJON 2010»
    Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machin
    13 years 2 months ago
    Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machin
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    Several solutions have been proposed to exploit the availability of heterogeneous sources of biomolecular data for gene function prediction, but few attention has been dedicated t...
    Matteo Re, Giorgio Valentini
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    ML
    2002
    ACM
    220views Machine Learning» more  ML 2002»
    Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
    13 years 5 months ago
    Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
    Download  www.mth.kcl.ac.uk
    I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
    Peter Sollich
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