569 search results - page 10 / 114 » Online Bounds for Bayesian Algorithms |
ICPR
2002
IEEE
15 years 11 months ago
2002
IEEE
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
FOCM
2006
14 years 9 months ago
2006
In this paper, we study an online learning algorithm in Reproducing Kernel Hilbert Spaces (RKHS) and general Hilbert spaces. We present a general form of the stochastic gradient m...
SWAT
2010
Springer
15 years 2 months ago
2010
Springer
Unit Clustering is the problem of dividing a set of points from a metric space into a minimal number of subsets such that the points in each subset are enclosable by a unit ball. W...
IRMA
2000
14 years 11 months ago
2000
The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing of it instance by instance. These algorithms have...
WWW
2009
ACM
15 years 10 months ago
2009
ACM
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...