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» An algorithmic approach to knowledge evolution
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AIIA
2007
Springer
14 years 28 days ago
A Hierarchical Clustering Procedure for Semantically Annotated Resources
Abstract. A clustering method is presented which can be applied to relational knowledge bases. It can be used to discover interesting groupings of resources through their (semantic...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
AIPRF
2008
13 years 8 months ago
Principles of Digital Evolution Machines
This paper introduces a theoretical approach of the construction of a self developing and adaptive artificial digital organism with huge remembrance and the ability of the interpr...
Istvan Elek
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
14 years 7 days ago
The molecule evoluator: an interactive evolutionary algorithm for designing drug molecules
To help chemists design new drugs, we created a tool that uses interactive evolution to design drug molecules, the “Molecule Evoluator”. In contrast to most other evolutionary...
Eric-Wubbo Lameijer, Adriaan P. IJzerman, Joost N....
ICTAI
2005
IEEE
14 years 10 days ago
Prediction of the Stock Exchange of Thailand Using Adaptive Evolution Strategies
In this paper we present a prediction process of the Stock Exchange of Thailand index using adaptive evolution strategies. The prediction process does not require the knowledge of...
Sunisa Rimcharoen, Daricha Sutivong, Prabhas Chong...
EKAW
2004
Springer
14 years 3 days ago
Incremental Knowledge Acquisition for Improving Probabilistic Search Algorithms
A new incremental knowledge acquisition approach for the effective development of efficient problem solvers for combinatorial problems based on probabilistic search algorithms is ...
J. P. Bekmann, Achim G. Hoffmann