193 search results - page 14 / 39 » Approximate parameter inference in a stochastic reaction-dif... |
DATE
2007
IEEE
14 years 1 months ago
2007
IEEE
In this paper we introduce a new algorithm for model order reduction in the presence of parameter or process variation. Our analysis is performed using a graph interpretation of t...
ECML
2005
Springer
14 years 28 days ago
2005
Springer
Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
ML
2006
ACM
13 years 7 months ago
2006
ACM
Most game programs have a large number of parameters that are crucial for their performance. While tuning these parameters by hand is rather difficult, efficient and easy to use ge...
NIPS
2007
13 years 8 months ago
2007
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
ECCV
2004
Springer
14 years 24 days ago
2004
Springer
Stochastic tracking of structured models in monolithic state spaces often requires modeling complex distributions that are difficult to represent with either parametric or sample...