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» Robust classification for skewed data
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ACSAC
2003
IEEE
14 years 19 days ago
Bayesian Event Classification for Intrusion Detection
Intrusion detection systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of lega...
Christopher Krügel, Darren Mutz, William K. R...
IDA
1998
Springer
13 years 8 months ago
Self-Organized-Expert Modular Network for Classification of Spatiotemporal Sequences
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
Sylvian R. Ray, William H. Hsu
BMCBI
2006
165views more  BMCBI 2006»
13 years 9 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
AAAI
2008
13 years 11 months ago
Unstructured Audio Classification for Environment Recognition
My thesis aims to contribute towards building autonomous agents that are able to understand their surrounding environment through the use of both audio and visual information. To ...
Selina Chu
BMCBI
2006
165views more  BMCBI 2006»
13 years 9 months ago
A stable gene selection in microarray data analysis
Background: Microarray data analysis is notorious for involving a huge number of genes compared to a relatively small number of samples. Gene selection is to detect the most signi...
Kun Yang, Zhipeng Cai, Jianzhong Li, Guohui Lin