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» Optimizing Complex Loss Functions in Structured Prediction
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BMCBI
2006
165views more  BMCBI 2006»
13 years 9 months ago
Improving the quality of protein structure models by selecting from alignment alternatives
Background: In the area of protein structure prediction, recently a lot of effort has gone into the development of Model Quality Assessment Programs (MQAPs). MQAPs distinguish hig...
Ingolf Sommer, Stefano Toppo, Oliver Sander, Thoma...
BIOINFORMATICS
2005
169views more  BIOINFORMATICS 2005»
13 years 9 months ago
A statistical model providing comprehensive predictions for the mRNA differential display
s Dirk Tremmel, Maximilian Tropschug N. crassa FKBP22 is part of a protein folding helper complex in the ER [oral presentation] Manuela Heiner A carbamate-cleaving catalytic antibo...
David Meintrup, Ellen Reisinger
GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
14 years 22 days ago
Prediction update algorithms for XCSF: RLS, Kalman filter, and gain adaptation
We study how different prediction update algorithms influence the performance of XCSF. We consider three classical parameter estimation algorithms (NLMS, RLS, and Kalman filter) a...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
MICRO
2006
IEEE
127views Hardware» more  MICRO 2006»
14 years 3 months ago
A Predictive Performance Model for Superscalar Processors
Designing and optimizing high performance microprocessors is an increasingly difficult task due to the size and complexity of the processor design space, high cost of detailed si...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...
JMLR
2010
143views more  JMLR 2010»
13 years 3 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov