153 search results - page 2 / 31 » On-Line Learning Methods for Gaussian Processes |
FUZZIEEE
2007
IEEE
14 years 2 months ago
2007
IEEE
The algorithm of on-line predictor from input-output data pairs will be proposed. In this paper, it proposed an approach to generate fuzzy rules of predictor from real-time input-o...
ICPR
2000
IEEE
13 years 11 months ago
2000
IEEE
Methods for controlling the adaptation process of an on-line handwritten character recognizer are studied. The classifier is based on the -nearest neighbor rule and it is adapted...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Point processes are difficult to analyze because they provide only a sparse and noisy observation of the intensity function driving the process. Gaussian Processes offer an attrac...
NIPS
2004
13 years 9 months ago
2004
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...