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168
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ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
15 years 4 months ago
Behavior Analysis-Based Learning Framework for Host Level Intrusion Detection
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
115
Voted
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
15 years 4 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
ICT
2004
Springer
145views Communications» more  ICT 2004»
15 years 8 months ago
Design and Implementation of an ANTS-Based Test Bed for Collecting Data in Active Framework
The active networks approach has been presented as an alternative technology for solving several problems in conventional networks, mainly in the network management area. This work...
V. Damasceno Matos, Jorge Luis de Castro e Silva, ...
121
Voted
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
15 years 1 months ago
Body schema acquisition through active learning
— We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using ...
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesan...
110
Voted
LREC
2008
78views Education» more  LREC 2008»
15 years 4 months ago
Approximating Learning Curves for Active-Learning-Driven Annotation
Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning method...
Katrin Tomanek, Udo Hahn