81 search results - page 1 / 17 » Learning Probabilistic Tree Grammars for Genetic Programming |
PPSN
2004
Springer
13 years 10 months ago
2004
Springer
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
PAKDD
2007
ACM
13 years 11 months ago
2007
ACM
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
AIIA
1995
Springer
13 years 8 months ago
1995
Springer
Genetic Programming (GP) is a method of automatically inducing programs by representing them as parse trees. In theory, programs in any computer languages can be translated to par...
EVOW
2004
Springer
13 years 10 months ago
2004
Springer
We present an algorithm for identifying putative non-coding RNA (ncRNA) using an RCSG (RNA Common-Structural Grammar) and show the effectiveness of the algorithm. The algorithm con...
EUROGP
2003
Springer
13 years 10 months ago
2003
Springer
In this paper, we introduce a new grammar guided genetic programming system called tree-adjoining grammar guided genetic programming (TAG3P+), where tree-adjoining grammars (TAGs) ...