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» Modeling the variability of architectural patterns
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ICAPR
2005
Springer
15 years 9 months ago
Discovering Predictive Variables When Evolving Cognitive Models
A non-dominated sorting genetic algorithm is used to evolve models of learning from different theories for multiple tasks. Correlation analysis is performed to identify parameters...
Peter C. R. Lane, Fernand Gobet
136
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ASAP
2006
IEEE
97views Hardware» more  ASAP 2006»
15 years 9 months ago
Dynamic-SIMD for lens distortion compensation
An increasing computational demand is placed on the image processing capacity of current and future smart cameras. SIMD processor architectures provide an efficient solution becau...
Bart Mesman, Hamed Fatemi, Henk Corporaal, Twan Ba...
124
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JDCTA
2010
104views more  JDCTA 2010»
14 years 10 months ago
Mean Shifts Identification Model in Bivariate Process Based on LS-SVM Pattern Recognizer
This study develops a least squares support vector machines (LS-SVM) based model for bivariate process to diagnose abnormal patterns of process mean vector, and to help identify a...
Zhi-Qiang Cheng, Yi-Zhong Ma, Jing Bu
131
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ICSR
2009
Springer
15 years 10 months ago
Feature-Driven and Incremental Variability Generalization in Software Product Line
In the lifecycle of a software product line (SPL), incremental generalization is usually required to extend the variability of existing core assets to support the new or changed ap...
Liwei Shen, Xin Peng, Wenyun Zhao
133
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IWANN
1997
Springer
15 years 7 months ago
The Pattern Extraction Architecture: A Connectionist Alternative to the Von Neumann Architecture
A detailed connectionist architecture is described which is capable of relating psychological behavior to the functioning of neurons and neurochemicals. The need to be able to bui...
L. Andrew Coward