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» Robust information-theoretic clustering
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ALT
2010
Springer
14 years 11 months ago
Contrast Pattern Mining and Its Application for Building Robust Classifiers
: The ability to distinguish, differentiate and contrast between different data sets is a key objective in data mining. Such ability can assist domain experts to understand their d...
Kotagiri Ramamohanarao
BMCBI
2006
144views more  BMCBI 2006»
14 years 10 months ago
More robust detection of motifs in coexpressed genes by using phylogenetic information
Background: Several motif detection algorithms have been developed to discover overrepresented motifs in sets of coexpressed genes. However, in a noisy gene list, the number of ge...
Pieter Monsieurs, Gert Thijs, Abeer A. Fadda, Sigr...
NOMS
2006
IEEE
105views Communications» more  NOMS 2006»
15 years 3 months ago
Adaptive Flow Aggregation - A New Solution for Robust Flow Monitoring under Security Attacks
— Flow-level traffic measurement is required for a wide range of applications including accounting, network planning and security management. A key design challenge is how to gr...
Yan Hu, Dah-Ming Chiu, John C. S. Lui
SENSYS
2006
ACM
15 years 3 months ago
RBP: robust broadcast propagation in wireless networks
Varying interference levels make broadcasting an unreliable operation in low-power wireless networks. Many routing and resource discovery protocols depend on flooding (repeated pe...
Fred Stann, John S. Heidemann, Rajesh Shroff, Muha...
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
14 years 11 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke