990 search results - page 64 / 198 » Learning with non-positive kernels |
ALT
2007
Springer
15 years 4 months ago
2007
Springer
This paper deals with the problem of making predictions in the online mode of learning where the dependence of the outcome yt on the signal xt can change with time. The Aggregating...
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
NIPS
2004
14 years 11 months ago
2004
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
CORR
2006
Springer
14 years 10 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
BMCBI
2011
14 years 4 months ago
2011
Background: When investigating covariate interactions and group associations with standard regression analyses, the relationship between the response variable and exposure may be ...