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    IJON
    2008
    156views more  IJON 2008»
    Structural identifiability of generalized constraint neural network models for nonlinear regression
    13 years 8 months ago
    Structural identifiability of generalized constraint neural network models for nonlinear regression
    Download  nlpr-web.ia.ac.cn
    Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining...
    Shuang-Hong Yang, Bao-Gang Hu, Paul-Henry Courn&eg...
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    CSDA
    2006
    169views more  CSDA 2006»
    Generalized structured additive regression based on Bayesian P-splines
    13 years 8 months ago
    Generalized structured additive regression based on Bayesian P-splines
    Download  www.stat.uni-muenchen.de
    Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Ba...
    Andreas Brezger, Stefan Lang
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    JMLR
    2006
    140views more  JMLR 2006»
    Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
    13 years 8 months ago
    Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error
    Download  jmlr.csail.mit.edu
    The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
    Masashi Sugiyama
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    ESANN
    2006
    118views Neural Networks» more  ESANN 2006»
    Variants of Unsupervised Kernel Regression: General cost functions
    13 years 10 months ago
    Variants of Unsupervised Kernel Regression: General cost functions
    Download  www.dice.ucl.ac.be
    We present an extension to a recent method for learning of nonlinear manifolds, which allows to incorporate general cost functions. We focus on the -insensitive loss and visually d...
    Stefan Klanke, Helge Ritter
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    ALT
    2008
    Springer
    93views Machine Learning» more  ALT 2008»
    Generalization Bounds for Some Ordinal Regression Algorithms
    13 years 10 months ago
    Generalization Bounds for Some Ordinal Regression Algorithms
    Download  web.mit.edu
    Shivani Agarwal
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