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» Cluster Ensemble Selection
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107
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ICONIP
2004
15 years 1 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...
79
Voted
JCNS
2006
69views more  JCNS 2006»
15 years 15 days ago
Effects of stimulus transformations on estimates of sensory neuron selectivity
Stimulus selectivity of sensory systems is often characterized by analyzing responseconditioned stimulus ensembles. However, in many cases these response-triggered stimulus sets h...
Alexander G. Dimitrov, Tomás Gedeon
98
Voted
ICPR
2008
IEEE
16 years 1 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
85
Voted
LWA
2008
15 years 2 months ago
A Comparison of Techniques for Selecting and Combining Class Association Rules
Local pattern discovery, pattern set formation and global modeling may be viewed as three consecutive steps in a global modeling process. As each of these three steps have gained a...
Jan-Nikolas Sulzmann, Johannes Fürnkranz
WOB
2007
116views Bioinformatics» more  WOB 2007»
15 years 1 months ago
Validating Gene Clusterings by Selecting Informative Gene Ontology Terms with Mutual Information
Abstract. We propose a method for global validation of gene clusterings. The method selects a set of informative and non-redundant GO terms through an exploration of the Gene Ontol...
Ivan G. Costa, Marcílio Carlos Pereira de S...