453 search results - page 2 / 91 » Information Theory, Inference, and Learning Algorithms |
BMCBI
2010
13 years 6 months ago
2010
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
NAACL
2010
13 years 4 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...
GECCO
2005
Springer
13 years 11 months ago
2005
Springer
In [15] we introduced the information landscape as a new concept of a landscape. We showed that for a landscape of a small size, information landscape theory can be used to predic...
CIKM
1997
Springer
13 years 10 months ago
1997
Springer
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
ISMIS
2003
Springer
13 years 11 months ago
2003
Springer
We propose an intelligent document title classification agent based on a theory of information inference. The information is represented as vectorial spaces computed by a cognitive...