1704 search results - page 102 / 341 » Learning nonlinear dynamic models |
101
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
99
Voted
JMLR
2010
14 years 7 months ago
2010
A parametric version of herding is formulated. The nonlinear mapping between consecutive time slices is learned by a form of self-supervised training. The resulting dynamical syst...
175
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CAISE
2011
Springer
14 years 4 months ago
2011
Springer
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...
120
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SDM
2007
SIAM
15 years 2 months ago
2007
SIAM
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
96
Voted
CDC
2009
IEEE
15 years 5 months ago
2009
IEEE
— Single-track vehicles, such as motorcycles, provide an agile mobile platform. Modeling and control of motorcycles for agile maneuvers, such as those by professional racing ride...