1704 search results - page 170 / 341 » Learning nonlinear dynamic models |
155
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ISCI
2008
15 years 3 months ago
2008
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
154
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
211
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Structured outputs such as multidimensional vectors or graphs are frequently encountered in real world pattern recognition applications such as computer vision, natural language pr...
143
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MICCAI
2009
Springer
15 years 10 months ago
2009
Springer
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain imag...
138
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ATAL
2008
Springer
15 years 5 months ago
2008
Springer
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...