Sciweavers

NECO
2006
118views more  NECO 2006»
13 years 11 months ago
Consistency of Pseudolikelihood Estimation of Fully Visible Boltzmann Machines
Boltzmann machine is a classic model of neural computation, and a number of methods have been proposed for its estimation. Most methods are plagued by either very slow convergence...
Aapo Hyvärinen
ANSS
1996
IEEE
14 years 3 months ago
Computation of the Asymptotic Bias and Variance for Simulation of Markov Reward Models
The asymptotic bias and variance are important determinants of the quality of a simulation run. In particular, the asymptotic bias can be used to approximate the bias introduced b...
Aad P. A. van Moorsel, Latha A. Kant, William H. S...