319 search results - page 48 / 64 » Learning Nonlinear Manifolds from Time Series |
MCS
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. We describe an ensemble of classifiers based algorithm for incremental learning in nonstationary environments. In this formulation, we assume that the learner is presente...
77
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ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Visual categorization problems, such as object classification or action recognition,
are increasingly often approached using a detection strategy: a classifier function
is first ...
CEC
2010
IEEE
14 years 10 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
103
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NN
2000
Springer
14 years 9 months ago
2000
Springer
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
74
Voted
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...