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CORR
2010
Springer
117views Education» more  CORR 2010»
13 years 7 months ago
Evolution with Drifting Targets
We consider the question of the stability of evolutionary algorithms to gradual changes, or drift, in the target concept. We define an algorithm to be resistant to drift if, for s...
Varun Kanade, Leslie G. Valiant, Jennifer Wortman ...
CORR
2008
Springer
114views Education» more  CORR 2008»
13 years 7 months ago
The Equivalence of Semidefinite Relaxation MIMO Detectors for Higher-Order QAM
In multi-input multi-output (MIMO) detection, semidefinite relaxation (SDR) has been shown to be an efficient high-performance approach. For BPSK and QPSK, it has been found that S...
Wing-Kin Ma, Chao-Cheng Su, Joakim Jalden, Tsung-H...
AEI
2006
108views more  AEI 2006»
13 years 7 months ago
Grammatical rules for specifying information for automated product data modeling
This paper presents a linguistic framework for developing a formal knowledge acquisition method. The framework is intended to empower domain experts to specify information require...
Ghang Lee, Charles M. Eastman, Rafael Sacks, Shamk...
ARTMED
2006
158views more  ARTMED 2006»
13 years 7 months ago
CareVis: Integrated visualization of computerized protocols and temporal patient data
Objective: Currently, visualization support for patient data analysis is mostly limited to the representation of directly measured data. Contextual information on performed treatm...
Wolfgang Aigner, Silvia Miksch
BMCBI
2006
146views more  BMCBI 2006»
13 years 7 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...