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» Stability of Feature Selection Algorithms
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ICONIP
2004
13 years 10 months ago
Hybrid Feature Selection for Modeling Intrusion Detection Systems
Most of the current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (...
Srilatha Chebrolu, Ajith Abraham, Johnson P. Thoma...
INFOCOM
2000
IEEE
14 years 26 days ago
On the Stability of Input-Buffer Cell Switches with Speed-Up
— We consider cell-based switch architectures, whose internal switching matrix does not provide enough speed to avoid input buffering. These architectures require a scheduling al...
Marco Ajmone Marsan, Emilio Leonardi, Marco Mellia...
ICPR
2008
IEEE
14 years 9 months ago
Feature selection focused within error clusters
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
Henry S. Baird, Sui-Yu Wang
JMLR
2010
133views more  JMLR 2010»
13 years 3 months ago
Exclusive Lasso for Multi-task Feature Selection
We propose a novel group regularization which we call exclusive lasso. Unlike the group lasso regularizer that assumes covarying variables in groups, the proposed exclusive lasso ...
Yang Zhou, Rong Jin, Steven C. H. Hoi
AIRS
2008
Springer
13 years 10 months ago
Efficient Feature Selection in the Presence of Outliers and Noises
Although regarded as one of the most successful algorithm to identify predictive features, Relief is quite vulnerable to outliers and noisy features. The recently proposed I-Relief...
Shuang-Hong Yang, Bao-Gang Hu