326 search results - page 32 / 66 » Messy Genetic Algorithms for Subset Feature Selection |
IJON
2006
13 years 8 months ago
2006
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
MVA
1996
13 years 9 months ago
1996
A method for inductivelearningof primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns ...
DATE
2004
IEEE
14 years 6 days ago
2004
IEEE
The growing use of digital signal processors (DSPs) in embedded systems necessitates the use of optimizing compilers supporting special hardware features. Due to the irregular arc...
CVPR
2003
IEEE
14 years 10 months ago
2003
IEEE
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...