22 search results - page 2 / 5 » Applying Genetic Programming to Evolve Learned Rules for Net... |
APIN
1998
13 years 4 months ago
1998
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
TJS
2010
13 years 3 months ago
2010
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
RAID
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we leverage the concepts of formal grammar and genetic operators to evolve malware. As a case study, we take COM infectors and design their formal grammar with produ...
AICCSA
2006
IEEE
13 years 11 months ago
2006
IEEE
Multi-class problem is the class of problems having more than one classes in the data set. Bayesian Network (BN) is a well-known algorithm handling the multi-class problem and is ...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...