193 search results - page 22 / 39 » Approximate parameter inference in a stochastic reaction-dif... |
ICALP
2001
Springer
13 years 12 months ago
2001
Springer
We present a probabilistic algorithm that, given a connected graph G (represented by adjacency lists) of average degree d, with edge weights in the set {1, . . . , w}, and given a ...
AMAI
2008
Springer
13 years 7 months ago
2008
Springer
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
CEC
2011
IEEE
12 years 7 months ago
2011
IEEE
—Stochastic relaxation aims at finding the minimum of a fitness function by identifying a proper sequence of distributions, in a given model, that minimize the expected value o...
WSC
2004
13 years 8 months ago
2004
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
WSC
2007
13 years 9 months ago
2007
State-dependent importance sampling (SDIS) has proved to be particularly useful in simulation (specially in rare event analysis of stochastic systems). One approach for designing ...