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» Neural methods for non-standard data
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JCNS
2010
104views more  JCNS 2010»
13 years 3 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
ICMLA
2009
13 years 2 months ago
Application of Artificial Neural Network (ANN) Method to Exergy Analysis of Thermodynamic Systems
Exergy is a way to sustainable development and may be defined as the maximum theoretical useful work, while exergy analysis identifies the sources, the magnitude and the causes of...
Yilmaz Yoru, T. Hikmet Karakoc, Arif Hepbasli
ICANN
2009
Springer
13 years 2 months ago
Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
André C. A. Nascimento, Ricardo Bastos Cava...
TCS
2002
13 years 4 months ago
Unsupervised learning in neural computation
In this article, we consider unsupervised learning from the point of view of applying neural computation on signal and data analysis problems. The article is an introductory surve...
Erkki Oja
IAJIT
2010
230views more  IAJIT 2010»
13 years 3 months ago
An Unsupervised Artificial Neural Network Method for Satellite Image Segmentation
: Image segmentation is an essential step in image processing. The goal of segmentation is to simplify and/or to change the representation of an image into a form easier to analyze...
Mohamad Awad