251 search results - page 32 / 51 » Approximation and Estimation Bounds for Artificial Neural Ne... |
ICAI
2007
13 years 9 months ago
2007
Abstract— The paper proposes a dynamic programming algorithm for training of functional networks. The algorithm considers each node as a state. The problem is formulated as find...
ICANN
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
HAIS
2009
Springer
14 years 5 days ago
2009
Springer
In engineering design the use of approximation models (= surrogate models) has become standard practice for design space exploration, sensitivity analysis, visualization and optimi...
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
Many multiagent domains where cooperation among agents is crucial to achieving a common goal can be modeled as coalitional games. However, in many of these domains, agents are une...
ICIP
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper, we propose a learning-based image restoration algorithm for restoring images degraded by uniform motion blurs. The motion blur parameters are first approximately es...