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» Computational Intelligence approaches to causality detection
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JMLR
2008
94views more  JMLR 2008»
13 years 9 months ago
Using Markov Blankets for Causal Structure Learning
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
Jean-Philippe Pellet, André Elisseeff
JNCA
2007
179views more  JNCA 2007»
13 years 9 months ago
Modeling intrusion detection system using hybrid intelligent systems
The process of monitoring the events occurring in a computer system or network and analyzing them for sign of intrusions is known as intrusion detection system (IDS). This paper p...
Sandhya Peddabachigari, Ajith Abraham, Crina Grosa...
CVPR
2012
IEEE
11 years 11 months ago
A Unified Framework for Event Summarization and Rare Event Detection
A novel approach for event summarization and rare event detection is proposed. Unlike conventional methods that deal with event summarization and rare event detection independently...
Junseok Kwon and Kyoung Mu Lee
ICPR
2008
IEEE
14 years 4 months ago
On-line novelty detection using the Kalman filter and extreme value theory
Novelty detection is concerned with identifying abnormal system behaviours and abrupt changes from one regime to another. This paper proposes an on-line (causal) novelty detection...
Hyoungjoo Lee, Stephen J. Roberts
KES
2005
Springer
14 years 3 months ago
An Intelligent Approach of Packet Marking at Edge Router for IP Traceback
Abstract. With the help of real source identity in packets, network security system can intelligently protect and counteract the attacks. Packet marking is an important method of s...
Dae Sun Kim, Choong Seon Hong, Yu Xiang