66 search results - page 5 / 14 » Kernel Regression Based Machine Translation |
114
Voted
ICPR
2006
IEEE
16 years 2 months ago
2006
IEEE
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...
116
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
124
Voted
BMCBI
2007
15 years 1 months ago
2007
Background: RNA interference (RNAi) is a naturally occurring phenomenon that results in the suppression of a target RNA sequence utilizing a variety of possible methods and pathwa...
134
Voted
TNN
2010
14 years 7 months ago
2010
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
117
Voted
IWANN
2005
Springer
15 years 6 months ago
2005
Springer
Based on the Nystr¨om approximation and the primal-dual formulation of Least Squares Support Vector Machines (LS-SVM), it becomes possible to apply a nonlinear model to a large sc...