1292 search results - page 174 / 259 » Bayesian learning in negotiation |
IDA
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Binary Factor Analysis (BFA) is a typical problem of Independent Component Analysis (ICA) where the signal sources are binary. Parameter learning and model selection in B...
CVPR
2006
IEEE
14 years 10 months ago
2006
IEEE
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— From the Bayesian Ying-Yang (BYY) harmony learning theory, a harmony function has been developed for finite mixtures with a novel property that its maximization can make model...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...
ICML
2003
IEEE
14 years 1 months ago
2003
IEEE
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...