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» On the use of spiking neural network for EEG classification
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ESWA
2006
114views more  ESWA 2006»
13 years 8 months ago
Bankruptcy prediction with neural logic networks by means of grammar-guided genetic programming
The paper demonstrates the efficient use of hybrid intelligent systems for solving the classification problem of bankruptcy. The aim of the study is to obtain classification schem...
Athanasios Tsakonas, Georgios Dounias, Michael Dou...
ICDAR
2003
IEEE
14 years 1 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
ICPR
2006
IEEE
14 years 9 months ago
Supervised Image Classification by SOM Activity Map Comparison
This article presents a method aiming at quantifying the visual similarity between two images. This kind of problem is recurrent in many applications such as object recognition, i...
Grégoire Lefebvre, Christophe Laurent, Juli...
INFFUS
2008
68views more  INFFUS 2008»
13 years 7 months ago
An ensemble based data fusion approach for early diagnosis of Alzheimer's disease
As the number of the elderly population affected by Alzheimer's disease (AD) rises rapidly, the need to find an accurate, inexpensive and non-intrusive diagnostic procedure t...
Robi Polikar, Apostolos Topalis, Devi Parikh, Debo...
AI
2002
Springer
13 years 8 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang