GECCO
2009
Springer
14 years 6 months ago
2009
Springer
We present a probabilistic formulation of UCS (a sUpervised Classifier System). UCS is shown to be a special case of mixture of experts where the experts are learned independentl...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
The generation of profitable trading rules for Foreign Exchange (FX) investments is a difficult but popular problem. The use of Machine Learning in this problem allows us to obtai...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
The Session Initiation Protocol (SIP) is the de facto standard for user’s session control in the next generation Voice over Internet Protocol (VoIP) networks based on the IP Mul...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
The National Association for Stock Car Auto Racing (NASCAR) is currently the No. 1 spectator sport in the United States. However, the manner in which drivers are ranked to determi...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
Software agents help automate a variety of tasks including those involved in buying and selling products over the internet. The need for handling complex highly configurable produ...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
Many successful applications have proven the potential of Learning Classifier Systems and the XCS classifier system in particular in datamining, reinforcement learning, and func...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
GECCO
2009
Springer
14 years 6 months ago
2009
Springer
This paper presents a genetic programming-based symbolic regression approach to the construction of relational features in link analysis applications. Specifically, we consider t...