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RTSS
2000
IEEE
14 years 11 days ago
Performance Specifications and Metrics for Adaptive Real-Time Systems
While early research on real-time computing was concerned with guaranteeing avoidance of undesirable effects such as overload and deadline misses, adaptive real-time systems are d...
Chenyang Lu, John A. Stankovic, Tarek F. Abdelzahe...
NECO
2007
108views more  NECO 2007»
13 years 7 months ago
Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
IROS
2007
IEEE
95views Robotics» more  IROS 2007»
14 years 2 months ago
Load estimation and control using learned dynamics models
— Classic adaptive control methods for handling varying loads rely on an analytically derived model of the robot’s dynamics. However, in many situations, it is not feasible or ...
Georgios Petkos, Sethu Vijayakumar
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
13 years 11 months ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang
GLOBECOM
2008
IEEE
14 years 2 months ago
Cross-Layer Design of Optimal Adaptation Technique over Selection-Combining Diversity Nakagami-m Fading Channels
— Adaptive modulation and antenna diversity are two important enabling techniques for future wireless network to meet demand for high data rate transmission. We study a Markov de...
Ashok K. Karmokar, Vijay K. Bhargava