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» Neural methods for non-standard data
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NIPS
1996
15 years 1 months ago
Early Brain Damage
Optimal Brain Damage (OBD) is a method for reducing the number of weights in a neural network. OBD estimates the increase in cost function if weights are pruned and is a valid app...
Volker Tresp, Ralph Neuneier, Hans-Georg Zimmerman...
ESWA
2006
165views more  ESWA 2006»
14 years 12 months ago
Optimal ensemble construction via meta-evolutionary ensembles
In this paper we propose a meta-evolutionary approach to improve on the performance of individual classifiers. In the proposed system, individual classifiers evolve, competing to ...
YongSeog Kim, W. Nick Street, Filippo Menczer
IJCNN
2007
IEEE
15 years 6 months ago
Image Classification Using Wavelet Coefficients in Low-pass Bands
— In this paper, a method based on wavelet coefficients in low-pass bands is proposed for the image classification with adaptive processing of data structures to organize a large...
Weibao Zou, Yan Li
IJCNN
2006
IEEE
15 years 5 months ago
Extraction of Components with Structured Variance
Abstract— We present a method for exploratory data analysis of large spatiotemporal data sets such as global longtime climate measurements, extending our previous work on semibli...
Alexander Ilin, Harri Valpola, Erkki Oja
JCP
2008
121views more  JCP 2008»
14 years 11 months ago
Relation Organization of SOM Initial Map by Improved Node Exchange
The Self Organizing Map (SOM) involves neural networks, that learns the features of input data thorough unsupervised, competitive neighborhood learning. In the SOM learning algorit...
Tsutomu Miyoshi