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    ESANN
    2007
    135views Neural Networks» more  ESANN 2007»
    Bat echolocation modelling using spike kernels with Support Vector Regression
    13 years 6 months ago
    Bat echolocation modelling using spike kernels with Support Vector Regression
    Download  www.dice.ucl.ac.be
    Abstract. From the echoes of their vocalisations bats extract information about the positions of reflectors. To gain an understanding of how target position is translated into neu...
    Bertrand Fontaine, Herbert Peremans, Benjamin Schr...
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    NIPS
    2004
    124views Information Technology» more  NIPS 2004»
    A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities
    13 years 5 months ago
    A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities
    Download  books.nips.cc
    We devise and experiment with a dynamical kernel-based system for tracking hand movements from neural activity. The state of the system corresponds to the hand location, velocity,...
    Lavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaa...
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    ANNPR
    2006
    Springer
    159views Neural Networks» more  ANNPR 2006»
    Support Vector Regression Using Mahalanobis Kernels
    13 years 8 months ago
    Support Vector Regression Using Mahalanobis Kernels
    Download  www.lib.kobe-u.ac.jp
    Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
    Yuya Kamada, Shigeo Abe
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    BMCBI
    2007
    139views more  BMCBI 2007»
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    13 years 4 months ago
    Improving model predictions for RNA interference activities that use support vector machine regression by combining and filterin
    Download  www.biomedcentral.com
    Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
    Andrew S. Peek
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    ESANN
    2007
    112views Neural Networks» more  ESANN 2007»
    Model Selection for Kernel Probit Regression
    13 years 6 months ago
    Model Selection for Kernel Probit Regression
    Download  www.dice.ucl.ac.be
    Abstract. The convex optimisation problem involved in fitting a kernel probit regression (KPR) model can be solved efficiently via an iteratively re-weighted least-squares (IRWLS)...
    Gavin C. Cawley
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