26 search results - page 2 / 6 » Markov Chain Stochastic Parametrizations of Essential Variab... |
EPEW
2006
Springer
13 years 8 months ago
2006
Springer
We propose new techniques to simplify the computation of the cycle times and the absorption times for a large class of PEPA models. These techniques allow us to simplify the model ...
NIPS
2008
13 years 6 months ago
2008
We introduce a new probability distribution over a potentially infinite number of binary Markov chains which we call the Markov Indian buffet process. This process extends the IBP...
ICMLC
2005
Springer
13 years 10 months ago
2005
Springer
This paper presents a novel approach for adaptive online multi-stroke sketch recognition based on Hidden Markov Model (HMM). The method views the drawing sketch as the result of a ...
JMLR
2010
12 years 11 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
FORMATS
2006
Springer
13 years 8 months ago
2006
Springer
Current numerical model checkers for stochastic systems can efficiently analyse stochastic models. However, the fact that they are unable to provide debugging information constrain...