1895 search results - page 89 / 379 » Function learning from interpolation |
SIAMIS
2010
13 years 4 months ago
2010
We study nonparametric regression between Riemannian manifolds based on regularized empirical risk minimization. Regularization functionals for mappings between manifolds should re...
ICML
2009
IEEE
14 years 4 months ago
2009
IEEE
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
AIED
2009
Springer
14 years 4 months ago
2009
Springer
The core problem we address in this paper is how to take a declarative conceptual representation of a complex system and produce an agent-based simulation of that model. In particu...
ESANN
2001
13 years 11 months ago
2001
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
AAAI
1994
13 years 11 months ago
1994
Table lookup with interpolation is used for many learning and adaptation tasks. Redundant mappings capture the important concept of \motor skill," which is important in real,...