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129
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JMLR
2012
13 years 5 months ago
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
Alexander Grubb, Drew Bagnell
119
Voted
CDC
2009
IEEE
140views Control Systems» more  CDC 2009»
15 years 7 months ago
Model reduction, optimal prediction, and the Mori-Zwanzig representation of Markov chains
— Model reduction methods from diverse fields— including control, statistical mechanics and economics—aimed at systems that can be represented by Markov chains, are discusse...
Carolyn L. Beck, Sanjay Lall, Tzuchen Liang, Matth...
153
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BMCBI
2005
96views more  BMCBI 2005»
15 years 2 months ago
Comparison of codon usage measures and their applicability in prediction of microbial gene expressivity
Background: There are a number of methods (also called: measures) currently in use that quantify codon usage in genes. These measures are often influenced by other sequence proper...
Fran Supek, Kristian Vlahovicek
128
Voted
POPL
2012
ACM
13 years 10 months ago
Sound predictive race detection in polynomial time
Data races are among the most reliable indicators of programming errors in concurrent software. For at least two decades, Lamport’s happens-before (HB) relation has served as th...
Yannis Smaragdakis, Jacob Evans, Caitlin Sadowski,...
126
Voted
ICSE
2004
IEEE-ACM
16 years 2 months ago
Concerning Predictability in Dependable Component-Based Systems: Classification of Quality Attributes
One of the main objectives of developing component-based software systems is to enable efficient building of systems through the integration of components. All component models def...
Ivica Crnkovic, Magnus Larsson, Otto Preiss