1450 search results - page 55 / 290 » Complexity of Inference in Graphical Models |
CORR
2012
Springer
12 years 3 months ago
2012
Springer
We present a novel approach to constraintbased causal discovery, that takes the form of straightforward logical inference, applied to a list of simple, logical statements about ca...
NAACL
2010
13 years 5 months ago
2010
Most learning algorithms for undirected graphical models require complete inference over at least one instance before parameter updates can be made. SampleRank is a rankbased lear...
DLOG
1998
13 years 9 months ago
1998
This paper introduces YAYA1, a Description Logic system focused towards learning complex interrelations among objects. YAYA Concept Language (YCL) is quite restricted; although it...
WSCG
2003
13 years 9 months ago
2003
The visual representation of complex data has always been a major motivation for computer graphics. However, there have always been computer graphics scenes which were too complex...
AB
2008
Springer
14 years 2 months ago
2008
Springer
Boolean networks (BNs) are known as a mathematical model of genetic networks. In this paper, we overview algorithmic aspects of inference, analysis and control of BNs while focusin...