195 search results - page 4 / 39 » Adaptive Algorithms for Neural Network Supervised Learning: ... |
109
Voted
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
This paper presents a new learning approach for pattern classification applications involving imbalanced data sets. In this approach, a clustering technique is employed to resamp...
138
Voted
GECCO
2005
Springer
15 years 8 months ago
2005
Springer
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
125
Voted
GLOBECOM
2007
IEEE
15 years 9 months ago
2007
IEEE
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...
121
Voted
ESANN
2004
15 years 4 months ago
2004
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
104
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NN
2006
Springer
15 years 2 months ago
2006
Springer
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...