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ICMLA
2004
13 years 11 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
13 years 11 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
13 years 11 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
13 years 11 months ago
LASSO: a learning architecture for semantic web ontologies
Expressing web page content in a way that computers can understand is the key to a semantic web. Generating ontological information from the web automatically using machine learni...
Christopher N. Hammack, Stephen D. Scott
ICMLA
2004
13 years 11 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...
Machine Learning
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