122 search results - page 11 / 25 » Exploiting a Probabilistic Hierarchical Model for Generation |
AUSAI
2008
Springer
13 years 9 months ago
2008
Springer
In recent years, there has been a cross-fertilization of ideas between computational neuroscience models of the operation of the neocortex and artificial intelligence models of mac...
HICSS
2007
IEEE
14 years 2 months ago
2007
IEEE
Abstract— The electricity price duration curve (EPDC) represents the probability distribution function of the electricity price considered as a random variable. The price uncerta...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Probabilistic model building methods can render difficult problems feasible by identifying and exploiting dependencies. They build a probabilistic model from the statistical prope...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
NIPS
2001
13 years 9 months ago
2001
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...