509 search results - page 7 / 102 » Using Learning for Approximation in Stochastic Processes |
CORR
2010
Springer
13 years 7 months ago
2010
Springer
In this report, we consider the problem of real-time transmission scheduling over time-varying channels. We first formulate the transmission scheduling problem as a Markov decisio...
CICLING
2010
Springer
13 years 10 months ago
2010
Springer
Term weighting strongly influences the performance of text mining and information retrieval approaches. Usually term weights are determined through statistical estimates based on s...
JCSS
2008
13 years 7 months ago
2008
Internet worms are classically described using SIR models and simulations, to capture the massive dynamics of the system. Here we are able to generate a differential equation-base...
SIAMNUM
2010
13 years 2 months ago
2010
Semidiscrete finite element approximation of the linear stochastic wave equation with additive noise is studied in a semigroup framework. Optimal error estimates for the determinis...
CVPR
2010
IEEE
12 years 4 months ago
2010
IEEE
Robust tracking of abrupt motion is a challenging task
in computer vision due to the large motion uncertainty. In
this paper, we propose a stochastic approximation Monte
Carlo (...