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UAI
2004
13 years 11 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
UAI
1997
13 years 11 months ago
Score and Information for Recursive Exponential Models with Incomplete Data
Recursive graphical models usually underlie the statistical modelling concerning probabilistic expert systems based on Bayesian networks. This paper de nes a version of these mode...
Bo Thiesson
WCE
2007
13 years 11 months ago
A Patch-by-Patch Shape Matching Procedure for Rigid Body Docking
Abstract—Docking simulates molecular interactions. Protein - protein docking, owing to the sizes of molecules, is a very challenging problem. As the number of degrees of freedom ...
Vipin K. Tripathi
BMCBI
2010
97views more  BMCBI 2010»
13 years 10 months ago
Incorporating significant amino acid pairs to identify O-linked glycosylation sites on transmembrane proteins and non-transmembr
Background: While occurring enzymatically in biological systems, O-linked glycosylation affects protein folding, localization and trafficking, protein solubility, antigenicity, bi...
Shu-An Chen, Tzong-Yi Lee, Yu-Yen Ou
EAAI
2007
199views more  EAAI 2007»
13 years 10 months ago
Nonlinear system modeling and robust predictive control based on RBF-ARX model
An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems with unknown steady state. First, the nonlinear system is id...
Hui Peng, Zi-Jiang Yang, Weihua Gui, Min Wu, Hideo...