372 search results - page 16 / 75 » Covariance Kernels from Bayesian Generative Models |
SAIG
2000
Springer
13 years 11 months ago
2000
Springer
Extracting information from data, often also called data analysis, is an important scienti c task. Statistical approaches, which use methods from probability theory and numerical a...
IJAR
2010
13 years 6 months ago
2010
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
CLEAR
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. This paper presents a visual particle filter for jointly tracking the position of a person and her head pose. The resulting information may be used to support automatic ...
HICSS
1997
IEEE
13 years 12 months ago
1997
IEEE
We describe an environment to produce traces representing significant workloads for a shared-bus shared-memory multiprocessor used as a general-purpose multitasking machine, wher...