19 search results - page 3 / 4 » Experiments in Value Function Approximation with Sparse Supp... |
ESSMAC
2003
Springer
13 years 11 months ago
2003
Springer
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
IWANN
2009
Springer
14 years 15 days ago
2009
Springer
This work proposes the use of maximal variation analysis for feature selection within least squares support vector machines for survival analysis. Instead of selecting a subset of ...
SIAMMAX
2011
12 years 8 months ago
2011
We investigate an acceleration technique for restarted Krylov subspace methods for computing the action of a function of a large sparse matrix on a vector. Its effect is to ultima...
NIPS
2001
13 years 7 months ago
2001
Estimating insurance premia from data is a difficult regression problem for several reasons: the large number of variables, many of which are discrete, and the very peculiar shape...
ACCV
2010
Springer
13 years 1 months ago
2010
Springer
Detecting instances of unknown categories is an important task for a multitude of problems such as object recognition, event detection, and defect localization. This paper investig...