ALOPEX

ALOPEX (an acronym from "ALgorithms Of Pattern EXtraction") is a correlation based machine learning algorithm first proposed by Tzanakou and Harth in… (More)
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Topic mentions per year

Topic mentions per year

1989-2015
01219892015

Papers overview

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2005
2005
We propose a novel model-based hearing compensation strategy and gradient-free optimization procedure for a learning-based… (More)
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2004
2004
This paper addresses stochastic correlative learning as the basis for a broadly defined class of statistical learning algorithms… (More)
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2004
2004
A numerical solution to the Hodgkin-Huxley (HH) equations is obtained with ion conductance variability as a forcing function… (More)
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2003
2003
We have investigated the performance of an adaptive optics system subjected to changing atmospheric conditions, under the… (More)
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2002
2002
The primary focus of this paper was to develop a high-performance computer system for optimizing auditory stimuli based on… (More)
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2001
2001
Many of the learning techniques currently employed to train Artificial Neural Networks are based on a gradient descendent of an… (More)
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Review
2001
Review
2001
Supervised and Unsupervised Pattern Recognition: Feature Extraction and Computational Intelligence by E. Micheli-Tzanakou. (Boca… (More)
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2000
2000
This paper describes the application of a novel unsupervised pattern recognition system to the classification of the visual… (More)
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1999
1999
We describe the use of a stochastic algorithm, called ALOPEX, which could be implemented in VLSI for optimizing the buffer… (More)
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1989
1989
The ALOPEX process is a broadly defined optimization procedure which simultaneously varies several parameters based on single… (More)
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