1136 search results - page 184 / 228 » Learning with Weighted Transducers |
AI
2002
Springer
13 years 9 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
JMLR
2010
13 years 3 months ago
2010
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
ICDM
2009
IEEE
14 years 3 months ago
2009
IEEE
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
IWANN
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in re...
ICRA
2002
IEEE
14 years 2 months ago
2002
IEEE
This article presents a new approach to movement planning, on-line trajectory modification, and imitation learning by representing movement plans based on a set of nonlinear di...