283 search results - page 30 / 57 » Bounds on the Generalization Performance of Kernel Machine E... |
GFKL
2007
Springer
13 years 11 months ago
2007
Springer
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
ML
2000
ACM
13 years 7 months ago
2000
ACM
Capacity control in perceptron decision trees is typically performed by controlling their size. We prove that other quantities can be as relevant to reduce their flexibility and co...
IPCO
2008
13 years 8 months ago
2008
We study the stochastic machine replenishment problem, which is a canonical special case of closed multiclass queuing systems in Markov decision theory. The problem models the sche...
BMCBI
2004
13 years 7 months ago
2004
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
NIPS
2007
13 years 8 months ago
2007
We present a globally convergent method for regularized risk minimization problems. Our method applies to Support Vector estimation, regression, Gaussian Processes, and any other ...