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» Multilayer neural networks and Bayes decision theory
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CIDM
2009
IEEE
14 years 2 months ago
An empirical study of bagging and boosting ensembles for identifying faulty classes in object-oriented software
—  Identifying faulty classes in object-oriented software is one of the important software quality assurance activities. This paper empirically investigates the application of t...
Hamoud I. Aljamaan, Mahmoud O. Elish
JAIHC
2010
205views more  JAIHC 2010»
13 years 6 months ago
Soft computing in intrusion detection: the state of the art
The state of the art is explored in using soft computing (SC) methods for network intrusion detection, including the examination of efforts in ten specific areas of SC as well as ...
Chet Langin, Shahram Rahimi
NN
2006
Springer
141views Neural Networks» more  NN 2006»
13 years 7 months ago
Encoding uncertainty in the hippocampus
The medial temporal lobe may play a critical role in binding successive events into memory while encoding contextual information in implicit and explicit memory tasks. Information...
Lee M. Harrison, Andrew Duggins, Karl J. Friston
ISNN
2005
Springer
14 years 1 months ago
Lidar Signal Processing for Under-Water Object Detection
Abstract. This paper presents Artificial Neural Network (ANN) based architecture for underwater object detection from Light Detection And Ranging (Lidar) data. Lidar gives a sequen...
Vikramjit Mitra, Chia-Jiu Wang, Satarupa Banerjee
KDD
2009
ACM
146views Data Mining» more  KDD 2009»
14 years 2 months ago
Mining in a mobile environment
Distributed PRocessing in Mobile Environments (DPRiME) is a framework for processing large data sets across an ad-hoc network. Developed to address the shortcomings of Google’s ...
Sean McRoskey, James Notwell, Nitesh V. Chawla, Ch...