193 search results - page 15 / 39 » Approximate parameter inference in a stochastic reaction-dif... |
AAAI
2011
12 years 7 months ago
2011
Many algorithms for performing inference in graphical models have complexity that is exponential in the treewidth - a parameter of the underlying graph structure. Computing the (m...
AAAI
1998
13 years 8 months ago
1998
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
HICSS
2007
IEEE
14 years 1 months ago
2007
IEEE
We introduce a stochastic model that describes the quasistatic dynamics of an electric transmission network under perturbations introduced by random load fluctuations, random rem...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— This work addresses the problem of selecting a subset of basis functions for a model linear in the parameters for regression tasks. Basis functions from a set of candidates are...
APPROX
2005
Springer
14 years 29 days ago
2005
Springer
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...