28 search results - page 1 / 6 » Convolutional Factor Graphs as Probabilistic Models |
UAI
2004
13 years 8 months ago
2004
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
SDM
2012
SIAM
11 years 9 months ago
2012
SIAM
We propose a new matrix completion algorithm— Kernelized Probabilistic Matrix Factorization (KPMF), which effectively incorporates external side information into the matrix fac...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Incorporating probabilities into the semantics of incomplete databases has posed many challenges, forcing systems to sacrifice modeling power, scalability, or treatment of relatio...
ICTAI
2009
IEEE
14 years 1 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 ...
RECOMB
2005
Springer
14 years 7 months ago
2005
Springer
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...