5463 search results - page 456 / 1093 » Evaluating algorithms that learn from data streams |
186
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PKDD
2010
Springer
15 years 5 months ago
2010
Springer
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
159
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PAMI
2006
15 years 6 months ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
195
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ECCV
2004
Springer
16 years 8 months ago
2004
Springer
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
172
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TNN
2008
15 years 6 months ago
2008
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
198
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DATAMINE
1999
15 years 6 months ago
1999
Abstract. One of the de ning challenges for the KDD research community is to enable inductive learning algorithms to mine very large databases. This paper summarizes, categorizes, ...