215 search results - page 25 / 43 » Coarse-to-Fine Inference and Learning for First-Order Probab... |
RECOMB
2004
Springer
14 years 8 months ago
2004
Springer
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
SSPR
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. In surveillance systems for monitoring people behaviour, it is imporant to build systems that can adapt to the signatures of the people tasks and movements in the environ...
JAIR
2008
13 years 7 months ago
2008
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
IWCM
2004
Springer
14 years 1 months ago
2004
Springer
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
ICTAI
2009
IEEE
14 years 2 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 ...