158 search results - page 2 / 32 » Exploring biological network structure using exponential ran... |
BIBE
2006
IEEE
13 years 10 months ago
2006
IEEE
— Biological networks are formalized summaries of our knowledge about interactions among biological system components, like genes, proteins, or metabolites. From their global top...
JMLR
2008
13 years 4 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
12
Voted
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
In many real-world domains, undirected graphical models such as Markov random fields provide a more natural representation of the dependency structure than directed graphical mode...
TVCG
2008
13 years 4 months ago
2008
A standard approach to large network visualization is to provide an overview of the network and a detailed view of a small component of the graph centred around a focal node. The u...
BIOINFORMATICS
2008
13 years 4 months ago
2008
Motivation: Finding a good network null model for protein-protein interaction (PPI) networks is a fundamental issue. Such a model would provide insights into the interplay between...