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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 9 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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    PAAPP
    2002
    76views more  PAAPP 2002»
    Performance of PDE solvers on a self-optimizing NUMA architecture
    13 years 9 months ago
    Performance of PDE solvers on a self-optimizing NUMA architecture
    Download  user.it.uu.se
    Abstract. The performance of shared-memory (OpenMP) implementations of three different PDE solver kernels representing finite difference methods, finite volume methods, and spectra...
    Sverker Holmgren, Markus Nordén, Jarmo Rant...
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    PAMI
    2007
    148views more  PAMI 2007»
    Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique
    13 years 9 months ago
    Orthogonal Neighborhood Preserving Projections: A Projection-Based Dimensionality Reduction Technique
    Download  www-users.cs.umn.edu
    This paper considers the problem of dimensionality reduction by orthogonal projection techniques. The main feature of the proposed techniques is that they attempt to preserve both...
    Effrosini Kokiopoulou, Yousef Saad
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    PR
    2007
    104views more  PR 2007»
    Optimizing resources in model selection for support vector machine
    13 years 9 months ago
    Optimizing resources in model selection for support vector machine
    Download  www.livia.etsmtl.ca
    Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
    Mathias M. Adankon, Mohamed Cheriet
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    PRL
    2008
    118views more  PRL 2008»
    Bayes Machines for binary classification
    13 years 9 months ago
    Bayes Machines for binary classification
    Download  arantxa.ii.uam.es
    In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
    Daniel Hernández-Lobato, José Miguel...
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