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ASPLOS
2006
ACM
13 years 11 months ago
Accurate and efficient regression modeling for microarchitectural performance and power prediction
We propose regression modeling as an efficient approach for accurately predicting performance and power for various applications executing on any microprocessor configuration in a...
Benjamin C. Lee, David M. Brooks
ICSE
2008
IEEE-ACM
14 years 8 months ago
Detecting model inconsistency through operation-based model construction
Nowadays, large-scale industrial software systems may involve hundreds of developers working on hundreds of different but related models representing parts of the same system spec...
Xavier Blanc, Isabelle Mounier, Alix Mougenot, Tom...
IROS
2007
IEEE
168views Robotics» more  IROS 2007»
14 years 1 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
TCBB
2008
108views more  TCBB 2008»
13 years 7 months ago
Statistical Characterization of Protein Ensembles
When accounting for structural fluctuations or measurement errors, a single rigid structure may not be sufficient to represent a protein. One approach to solve this problem is to r...
Diego Rother, Guillermo Sapiro, Vijay Pande
ISSRE
2000
IEEE
13 years 12 months ago
Evaluation of Regressive Methods for Automated Generation of Test Trajectories
Automated generation of test cases is a prerequisite for fast testing. Whereas the research has addressed the creation of individual test points, test trajectoiy generation has at...
Brian J. Taylor, Bojan Cukic