235 search results - page 14 / 47 » Unsupervised Variational Bayesian Learning of Nonlinear Mode... |
JMLR
2010
13 years 4 months ago
2010
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
JMLR
2010
13 years 4 months ago
2010
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
ICCV
2003
IEEE
14 years 11 months ago
2003
IEEE
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
ACL
2012
11 years 11 months ago
2012
We investigate the problem of acoustic modeling in which prior language-specific knowledge and transcribed data are unavailable. We present an unsupervised model that simultaneou...
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...