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» Network-Based Intrusion Detection Using Adaboost Algorithm
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IWINAC
2009
Springer
14 years 1 days ago
Results of an Adaboost Approach on Alzheimer's Disease Detection on MRI
Abstract. In this paper we explore the use of the Voxel-based Morphometry (VBM) detection clusters to guide the feature extraction processes for the detection of Alzheimer's d...
Alexandre Savio, Maite García-Sebasti&aacut...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 10 months ago
Intrusion as (anti)social communication: characterization and detection
A reasonable definition of intrusion is: entering a community to which one does not belong. This suggests that in a network, intrusion attempts may be detected by looking for com...
Qi Ding, Natallia Katenka, Paul Barford, Eric D. K...
TMI
2010
172views more  TMI 2010»
13 years 5 months ago
Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation
Abstract— We compared four automated methods for hippocampal segmentation using different machine learning algorithms (1) hierarchical AdaBoost, (2) Support Vector Machines (SVM)...
Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova...
ACSC
2003
IEEE
14 years 23 days ago
Policies for Sharing Distributed Probabilistic Beliefs
In this paper, we present several general policies for deciding when to share probabilistic beliefs between agents for distributed monitoring. In order to evaluate these policies,...
Christopher Leckie, Kotagiri Ramamohanarao
ICANNGA
2009
Springer
201views Algorithms» more  ICANNGA 2009»
14 years 2 months ago
A Novel Signal-Based Approach to Anomaly Detection in IDS Systems
In this paper we present our original methodology, in which Matching Pursuit is used for networks anomaly and intrusion detection. The architecture of anomaly-based IDS based on si...
Lukasz Saganowski, Michal Choras, Rafal Renk, Wito...