924 search results - page 155 / 185 » Incremental Probabilistic Inference |
ICTAI
2009
IEEE
14 years 3 months ago
2009
IEEE
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
SUM
2009
Springer
14 years 3 months ago
2009
Springer
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
We propose a Dynamic Bayesian Network (DBN) model for upper body tracking. We first construct a Bayesian Network (BN) to represent the human upper body structure and then incorpo...
IROS
2008
IEEE
14 years 3 months ago
2008
IEEE
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
DSN
2007
IEEE
14 years 3 months ago
2007
IEEE
In a peer-to-peer overlay network, hosts cooperate to forward messages. When a message does not reach its final destination, there are two possible explanations. An intermediate ...