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» Predictive Matrix-Variate t Models
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117
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BMCBI
2006
143views more  BMCBI 2006»
15 years 20 days ago
Application of protein structure alignments to iterated hidden Markov model protocols for structure prediction
Background: One of the most powerful methods for the prediction of protein structure from sequence information alone is the iterative construction of profile-type models. Because ...
Eric D. Scheeff, Philip E. Bourne
93
Voted
BMCBI
2010
109views more  BMCBI 2010»
15 years 22 days ago
Prediction of the binding affinities of peptides to class II MHC using a regularized thermodynamic model
Background: The binding of peptide fragments of extracellular peptides to class II MHC is a crucial event in the adaptive immune response. Each MHC allotype generally binds a dist...
Andrew J. Bordner, Hans D. Mittelmann
115
Voted
IROS
2008
IEEE
211views Robotics» more  IROS 2008»
15 years 7 months ago
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models
Abstract— Bayesian filtering is a general framework for recursively estimating the state of a dynamical system. The most common instantiations of Bayes filters are Kalman filt...
Jonathan Ko, Dieter Fox
111
Voted
CASCON
2001
142views Education» more  CASCON 2001»
15 years 2 months ago
An analytical model for buffer hit rate prediction
Of the many tuning parameters available in a database management system (DBMS), one of the most crucial to performance is the buffer pool size. Choosing an appropriate size, howev...
Yongli Xi, Patrick Martin, Wendy Powley
78
Voted
BC
2002
91views more  BC 2002»
15 years 14 days ago
Linear combinations of nonlinear models for predicting human-machine interface forces
ACT This study presents a computational framework that capitalizes on known human neuromechanical characteristics during limb movements in order to predict man-machine interactions...
James L. Patton, Ferdinando A. Mussa-Ivaldi