508 search results - page 95 / 102 » A graphical model for protein secondary structure prediction |
KDD
2009
ACM
14 years 1 months ago
2009
ACM
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
NIPS
2008
13 years 10 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
BMCBI
2007
13 years 9 months ago
2007
Background: In structural genomics, an important goal is the detection and classification of protein–protein interactions, given the structures of the interacting partners. We h...
BMCBI
2010
13 years 9 months ago
2010
Background: The omics fields promise to revolutionize our understanding of biology and biomedicine. However, their potential is compromised by the challenge to analyze the huge da...
ICRA
2009
IEEE
13 years 7 months ago
2009
IEEE
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...