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GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
15 years 10 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
POPL
2008
ACM
16 years 6 months ago
Relevance heuristics for program analysis
Relevance heuristics allow us to tailor a program analysis to a particular property to be verified. This in turn makes it possible to improve the precision of the analysis where n...
Kenneth L. McMillan
ISPASS
2008
IEEE
16 years 28 days ago
Metrics for Architecture-Level Lifetime Reliability Analysis
Abstract— This work concerns metrics for evaluating microarchitectural enhancements to improve processor lifetime reliability. A commonly reported reliability metric is mean time...
Pradeep Ramachandran, Sarita V. Adve, Pradip Bose,...
IROS
2007
IEEE
145views Robotics» more  IROS 2007»
16 years 25 days ago
A quantitative method for comparing trajectories of mobile robots using point distribution models
— In the field of mobile robotics, trajectory details are seldom taken into account to qualify robot performance. Most metrics rely mainly on global results such as the total ti...
Pierre Roduit, Alcherio Martinoli, Jacques Jacot
MICCAI
2010
Springer
15 years 5 months ago
Detecting Brain Activation in fMRI Using Group Random Walker
Due to the complex noise structure of functional magnetic resonance imaging (fMRI) data, methods that rely on information within a single subject often results in unsatisfactory fu...
Bernard Ng, Ghassan Hamarneh, Rafeef Abugharbieh