9 search results - page 1 / 2 » Genetic Programming for Kernel-based Learning with Co-evolvi... |
CORR
2006
Springer
13 years 4 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
SEAL
1998
Springer
13 years 9 months ago
1998
Springer
Genetic programming evolves Lisp-like programs rather than fixed size linear strings. This representational power combined with generality makes genetic programming an interesting ...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
EVOW
1994
Springer
13 years 9 months ago
1994
Springer
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. Page-based Linear Genetic Programming (GP) is proposed and implemented with two-layer Subset Selection to address a two-class intrusion detection classification problem a...