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» Classifying model-theoretic properties
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CEC
2010
IEEE
13 years 11 months ago
Multi-objective memetic evolution of ART-based classifiers
In this paper we present a novel framework for evolving ART-based classification models, which we refer to as MOME-ART. The new training framework aims to evolve populations of ART...
Rong Li, Timothy R. Mersch, Oriana X. Wen, Assem K...
ML
2008
ACM
222views Machine Learning» more  ML 2008»
13 years 10 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
APNOMS
2008
Springer
14 years 11 hour ago
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...
Huy Anh Nguyen, Deokjai Choi
ITSSA
2006
89views more  ITSSA 2006»
13 years 10 months ago
A Methodology for Classifying Self-Organizing Software Systems
: The software industry is faced with the fast growing complexity of IT infrastructures. This makes manual administration increasingly difficult and appears to be the limiting fact...
Klaus Herrmann, Matthias Werner, Gero Mühl
ICPR
2006
IEEE
14 years 11 months ago
Classifiers for Motion
In this paper we present a unsupervised learning based approach for sub-pixel motion estimation. The novelty of this work is the learning based method itself which tries to learn ...
Mithun Das Gupta, Nemanja Petrovic, ShyamSundar Ra...