311 search results - page 10 / 63 » Improving the performance of evolutionary algorithms for dec... |
IJCAI
1989
13 years 10 months ago
1989
Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
GECCO
2006
Springer
14 years 11 days ago
2006
Springer
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
SEAL
1998
Springer
14 years 28 days ago
1998
Springer
This paper empirically investigates the use and behaviour of Evolution Strategies (ES) algorithms on problems such as function optimisation and the use of evolutionary artificial ...
IJCAI
1997
13 years 10 months ago
1997
Windowing has been proposed as a procedure for efficient memory use in the ID3 decision tree learning algorithm. However, it was shown that it may often lead to a decrease in perf...
JCIT
2010
13 years 3 months ago
2010
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...