81 search results - page 14 / 17 » Learning Probabilistic Tree Grammars for Genetic Programming |
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
An important drawback to the popular Belief, Desire, and Intentions (BDI) paradigm is that such systems include no element of learning from experience. In particular, the so-calle...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
GECCO
2010
Springer
13 years 8 months ago
2010
Springer
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
IJON
2006
13 years 7 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...