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» Computational model for amygdala neural networks
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ISNN
2005
Springer
15 years 7 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
IJON
2008
109views more  IJON 2008»
15 years 1 months ago
Unsupervised learning neural network with convex constraint: Structure and algorithm
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
Hengqing Tong, Tianzhen Liu, Qiaoling Tong
COMSWARE
2007
IEEE
15 years 8 months ago
Competition between SOM Clusters to Model User Authentication System in Computer Networks
—Traditional authentication systems employed on Internet are facing an acute problem of intrusions. In this context we propose a neural architecture for user authentication throu...
Shrijit S. Joshi, Vir V. Phoha
NN
2006
Springer
121views Neural Networks» more  NN 2006»
15 years 1 months ago
Mirror neurons and imitation: A computationally guided review
Neurophysiology reveals the properties of individual mirror neurons in the macaque while brain imaging reveals the presence of `mirror systems' (not individual neurons) in th...
Erhan Oztop, Mitsuo Kawato, Michael A. Arbib
ECAI
2004
Springer
15 years 7 months ago
Towards Efficient Learning of Neural Network Ensembles from Arbitrarily Large Datasets
Advances in data collection technologies allow accumulation of large and high dimensional datasets and provide opportunities for learning high quality classification and regression...
Kang Peng, Zoran Obradovic, Slobodan Vucetic