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» Parameterized Learning Complexity
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128
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TEC
2008
98views more  TEC 2008»
15 years 3 months ago
Opposition-Based Differential Evolution
Evolutionary Algorithms (EAs) are well-known optimization approaches to cope with non-linear, complex problems. These population-based algorithms, however, suffer from a general we...
Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A...
135
Voted
TNN
2008
143views more  TNN 2008»
15 years 3 months ago
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons
A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of spe...
Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada,...
137
Voted
TNN
2008
114views more  TNN 2008»
15 years 3 months ago
Relevance-Based Feature Extraction for Hyperspectral Images
Abstract--Hyperspectral imagery affords researchers all discriminating details needed for fine delineation of many material classes. This delineation is essential for scientific re...
Michael J. Mendenhall, Erzsébet Meré...
163
Voted
JNCA
2007
179views more  JNCA 2007»
15 years 3 months ago
Modeling intrusion detection system using hybrid intelligent systems
The process of monitoring the events occurring in a computer system or network and analyzing them for sign of intrusions is known as intrusion detection system (IDS). This paper p...
Sandhya Peddabachigari, Ajith Abraham, Crina Grosa...
155
Voted
AC
2002
Springer
15 years 3 months ago
Empirical Studies of Quality Models in Object-Oriented Systems
Measuring structural design properties of a software system, such as coupling, cohesion, or complexity, is a promising approach towards early quality assessments. To use such meas...
Lionel C. Briand, Jürgen Wüst