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    ESANN
    2006
    262views Neural Networks» more  ESANN 2006»
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    13 years 6 months ago
    Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
    Download  www.dice.ucl.ac.be
    Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
    Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
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    AUSAI
    2007
    Springer
    176views Artificial Intelligence» more  AUSAI 2007»
    Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
    13 years 9 months ago
    Building Classification Models from Microarray Data with Tree-Based Classification Algorithms
    Download  www.csse.monash.edu.au
    Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
    Peter J. Tan, David L. Dowe, Trevor I. Dix
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    RC
    2007
    128views more  RC 2007»
    Bounds on Generalized Linear Predictors with Incomplete Outcome Data
    13 years 4 months ago
    Bounds on Generalized Linear Predictors with Incomplete Outcome Data
    Download  homepages.nyu.edu
    This paper develops easily computed, tight bounds on Generalized Linear Predictors and instrumental variable estimators when outcome data are partially identi…ed. A salient exam...
    Jörg Stoye
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    ICML
    2006
    IEEE
    136views Machine Learning» more  ICML 2006»
    Regression with the optimised combination technique
    14 years 6 months ago
    Regression with the optimised combination technique
    Download  www.math.tu-berlin.de
    We consider the sparse grid combination technique for regression, which we regard as a problem of function reconstruction in some given function space. We use a regularised least ...
    Jochen Garcke
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    NA
    2007
    120views more  NA 2007»
    On choosing "optimal" shape parameters for RBF approximation
    13 years 4 months ago
    On choosing "optimal" shape parameters for RBF approximation
    Download  amadeus.math.iit.edu
    Many radial basis function (RBF) methods contain a free shape parameter that plays an important role for the accuracy of the method. In most papers the authors end up choosing this...
    Gregory E. Fasshauer, Jack G. Zhang
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