248 search results - page 28 / 50 » Rate of Convergence for Constrained Stochastic Approximation... |
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— This paper applies a recently developed neural network called plausible neural network (PNN) to function approximation. Instead of using error correction, PNN estimates the mut...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
In probabilistic grammatical inference, a usual goal is to infer a good approximation of an unknown distribution P called a stochastic language. The estimate of P stands in some cl...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
The paper studies the problem of distributed static parameter (vector) estimation in sensor networks with nonlinear observation models and imperfect inter-sensor communication. We...
SIAMIS
2010
13 years 2 months ago
2010
We generalize the primal-dual hybrid gradient (PDHG) algorithm proposed by Zhu and Chan in [M. Zhu, and T. F. Chan, An Efficient Primal-Dual Hybrid Gradient Algorithm for Total Var...
GLOBECOM
2007
IEEE
14 years 1 months ago
2007
IEEE
—Path diversity works by setting up multiple parallel connections between the end points using the topological path redundancy of the network. In this paper, Forward Error Correc...