43 search results - page 5 / 9 » Multi-objective Genetic Programming for Multiple Instance Le... |
KES
2006
Springer
13 years 7 months ago
2006
Springer
Abstract. The aim of this work is to forecast future events in financial data sets, in particular, we focus our attention on situations where positive instances are rare, which fal...
SEAL
1998
Springer
13 years 11 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 ...
JMLR
2012
11 years 9 months ago
2012
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
We investigated how indexed FOR-loops, such as the ones found in procedural programming languages, can be implemented in genetic programming. We use them to train programs that le...
UPP
2004
Springer
14 years 22 days ago
2004
Springer
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...