Sciweavers

ICMLA
2004
14 years 10 months ago
A new discrete binary particle swarm optimization based on learning automata
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie
ICMLA
2004
14 years 10 months ago
PolyCluster: an interactive visualization approach to construct classification rules
This paper introduces a system, called PolyCluster, which adopts state-of-the-art algorithms for data visualization and integrates human domain knowledge into the construction pro...
Danyu Liu, Alan P. Sprague, Jeffrey G. Gray
ICMLA
2004
14 years 10 months ago
A new landmarker generation algorithm based on correlativity
Landmarking is a recent and promising metalearning strategy, which defines meta-features that are themselves efficient learning algorithms. However, the choice of landmarkers is m...
Daren Ler, Irena Koprinska, Sanjay Chawla
ICMLA
2004
14 years 10 months ago
Planning with predictive state representations
Predictive state representation (PSR) models for controlled dynamical systems have recently been proposed as an alternative to traditional models such as partially observable Mark...
Michael R. James, Satinder P. Singh, Michael L. Li...
ICMLA
2004
14 years 10 months ago
Reducing complexity of rule based models via meta mining
Complexity, or in other words compactness, of models generated by rule learners is one of often neglected issues, although it has a profound effect on the success of any project t...
Lukasz A. Kurgan
Machine Learning
Top of PageReset Settings