50 search results - page 3 / 10 » Self-adaptation of parameters in a learning classifier syste... |
CP
2010
Springer
13 years 5 months ago
2010
Springer
The automatic tuning of the parameters of algorithms and automatic selection of algorithms has received a lot of attention recently. One possible approach is the use of machine lea...
ICAPR
2009
Springer
14 years 1 months ago
2009
Springer
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
ESANN
2006
13 years 8 months ago
2006
This paper presents a new method for constructing ensembles of classifiers based on immune network theory, one of the most interesting paradigms within the field of artificial imm...
MLDM
1999
Springer
13 years 11 months ago
1999
Springer
In the field of pattern recognition, multiple classifier systems based on the combination of the outputs of a set of different classifiers have been proposed as a method for the de...