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» A Theoretical Framework for Dynamic Classifier Selection
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ICPR
2000
IEEE
13 years 8 months ago
A Theoretical Framework for Dynamic Classifier Selection
At present, the common operation mechanism of multiple classifier systems is the combination of classifier outputs. Recently, some researchers pointed out the potentialities of ...
Giorgio Giacinto, Fabio Roli
ICIAP
1999
ACM
13 years 8 months ago
Methods for Dynamic Classifier Selection
In the field of pattern recognition, the concept of Multiple Classifier Systems (MCSs) was proposed as a method for the development of high performance classification systems. At ...
Giorgio Giacinto, Fabio Roli
ISPA
2004
Springer
13 years 9 months ago
Cayley DHTs - A Group-Theoretic Framework for Analyzing DHTs Based on Cayley Graphs
Static DHT topologies influence important features of such DHTs such as scalability, communication load balancing, routing efficiency and fault tolerance. Nevertheless, it is co...
Changtao Qu, Wolfgang Nejdl, Matthias Kriesell
CEC
2005
IEEE
13 years 6 months ago
A new approach to dynamics analysis of genetic algorithms without selection
Abstract- Theoretical analysis of the dynamics of evolutionary algorithms is believed to be very important to understand the search behavior of evolutionary algorithms and to devel...
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
MCS
2010
Springer
13 years 6 months ago
Dynamic Selection of Ensembles of Classifiers Using Contextual Information
In a multiple classifier system, dynamic selection (DS) has been used successfully to choose only the best subset of classifiers to recognize the test samples. Dos Santos et al...
Paulo Rodrigo Cavalin, Robert Sabourin, Ching Y. S...