We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
— 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...
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...
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,...
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...