459 search results - page 10 / 92 » Automated Learning of Rules Using Genetic Operators |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
GECCO
2009
Springer
14 years 8 days ago
2009
Springer
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
IPPS
2008
IEEE
14 years 2 months ago
2008
IEEE
—Scheduling and dispatching are two ways of solving production planning problems. In this work, based on preceding works, it is explained how these two approaches can be combined...
ITRE
2005
IEEE
14 years 1 months ago
2005
IEEE
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
FUZZIEEE
2007
IEEE
14 years 2 months ago
2007
IEEE
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...