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IJCNN
2008
IEEE
14 years 2 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
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...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
ICPADS
2005
IEEE
14 years 2 months ago
An Active Detecting Method Against SYN Flooding Attack
SYN flooding attacks are a common type of Distributed Denial-of-Service (DDoS) attack. Early detection is desirable but traditional passive detection methods are inaccurate in th...
Bin Xiao, Wei Chen, Yanxiang He, Edwin Hsing-Mean ...
MUE
2009
IEEE
144views Multimedia» more  MUE 2009»
14 years 3 months ago
Maxtream: Stabilizing P2P Streaming by Active Prediction of Behavior Patterns
In theory, peer-to-peer (P2P) based streaming designs and simulations provide a promising alternative to serverbased streaming systems both in cost and scalability. In practice ho...
Shay Horovitz, Danny Dolev
AI
2009
Springer
14 years 3 months ago
Grid-Enabled Adaptive Metamodeling and Active Learning for Computer Based Design
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Dirk Gorissen
ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
14 years 3 months ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...