28 search results - page 2 / 6 » Nonlinear Markov Networks for Continuous Variables |
CORR
2012
Springer
12 years 1 months ago
2012
Springer
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
GLVLSI
2005
IEEE
13 years 11 months ago
2005
IEEE
We have presented an optimal on-chip buffer allocation and buffer insertion methodology which uses stochastic models of the architecture. This methodology uses finite buffer s...
CORR
2006
Springer
13 years 5 months ago
2006
Springer
Let X be a discrete random variable with support S and f : S S be a bijection. Then it is wellknown that the entropy of X is the same as the entropy of f(X). This entropy preserva...
ECAI
2010
Springer
13 years 2 months ago
2010
Springer
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
We present a numerical approximation technique for the analysis of continuous-time Markov chains that describe networks of biochemical reactions and play an important role in the ...