153 search results - page 2 / 31 » On-Line Learning Methods for Gaussian Processes |
FUZZIEEE
2007
IEEE
15 years 4 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...
96
Voted
ICPR
2000
IEEE
15 years 1 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...
89
Voted
ECCV
2008
Springer
15 years 11 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 ...
70
Voted
ICML
2008
IEEE
15 years 10 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
14 years 11 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...