113 search results - page 21 / 23 » Lifted Probabilistic Inference for Asymmetric Graphical Mode... |
NIPS
2004
14 years 11 months ago
2004
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
CORR
2008
Springer
14 years 10 months ago
2008
Springer
Abstract--Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typi...
RECOMB
2010
Springer
15 years 5 months ago
2010
Springer
Constructing quantitative dynamic models of signaling pathways is an important task for computational systems biology. Pathway model construction is often an inherently incremental...
ICTAI
2009
IEEE
15 years 5 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 ...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
In our previous work (`An Algebraic Watchdog for Wireless Network Coding'), we proposed a new scheme in which nodes can detect malicious behaviors probabilistically, police th...