METALA: A Meta-learning Architecture
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Framework of a Multi-agent KDD System
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Role-based design of computational intelligence multi-agent system
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Meta Learning in Multi-agent Systems for Data Mining
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Machine Learning
Implementation of Parameter Space Search for Meta Learning in a Data-Mining Multi-agent System
ICMLA '11 Proceedings of the 2011 10th International Conference on Machine Learning and Applications and Workshops - Volume 02
| Hi-index | 0.00 |
We present a description of our multi-agent system where computational intelligence methods are embodied as software agents. This system is designed in order to allow easy experiments with learning, meta learning, gathering experience based on previous computations, and recommending suitable methods for particular data. The architecture of the system is presented and its meta learning abilities are demonstrated on a set of experiments with neural network models and both evolutionary and local search heuristics.