988 search results - page 166 / 198 » Intrusion Detection with Neural Networks |
139
Voted
IJCNN
2008
IEEE
15 years 10 months ago
2008
IEEE
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
137
Voted
ICIC
2007
Springer
15 years 10 months ago
2007
Springer
This paper presents a novel fault detection and section estimation method for unbalanced underground distribution systems (UDS). The method proposed is based on artificial neural n...
124
Voted
IJCNN
2006
IEEE
15 years 9 months ago
2006
IEEE
— This paper proposes a novel method of fusing models for classification of unbalanced data. The unbalanced data contains a majority of healthy (negative) instances, and a minor...
127
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IPCV
2008
15 years 5 months ago
2008
- We report classification experiments using the pilot Infant COPE database of neonatal facial expressions. Two sets of DCT coeffiecents were used to train a neural network simulta...
144
Voted
VIZSEC
2005
Springer
15 years 9 months ago
2005
Springer
This paper presents the Intrusion Detection toolkit (IDtk), an information Visualization tool for intrusion detection (ID). IDtk was developed through a user-centered design proce...