56 search results - page 6 / 12 » Estimating Predictive Variances with Kernel Ridge Regression |
117
Voted
ESANN
2006
14 years 10 months ago
2006
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 ...
ICANN
2005
Springer
15 years 2 months ago
2005
Springer
This paper presents a new method for the selection of the two hyperparameters of Least Squares Support Vector Machine (LS-SVM) approximators with Gaussian Kernels. The two hyperpar...
IROS
2009
IEEE
15 years 4 months ago
2009
IEEE
— Gas distribution modelling constitutes an ideal application area for mobile robots, which – as intelligent mobile gas sensors – offer several advantages compared to station...
ICMLA
2007
14 years 11 months ago
2007
We construct machine learned regressors to predict the behaviour of DNA sequencing data from the fluorescent labelled Sanger method. These predictions are used to assess hypothes...
76
Voted
CDC
2009
IEEE
15 years 22 days ago
2009
IEEE
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...