Ensemble of support vector machines classifiers with Learn++ algorithm Learn++ algoritmasi ile destek vektör makineleri siniflayicilar topluluǧunun oluşturulmasi
IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005, Kayseri, Türkiye, 16 - 18 Mayıs 2005, cilt.2005, ss.687-690, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Cilt numarası: 2005
- Doi Numarası: 10.1109/siu.2005.1567778
- Basıldığı Şehir: Kayseri
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.687-690
- Boğaziçi Üniversitesi Adresli: Evet
Özet
In the recent years, Support Vector machines (SVMs) classifiers have been successfully applied to solve a large number of problems. Since SVMs use the global learning technique it suffers from the catastrophic forgetting phenomenon (also called unlearning) which is the inability of the system to learn new patterns without forgetting previously learned ones. Learn++ have been recently introduced as an incremental learning algorithm capable of learning additional data that may later become available. To deal with the catastrophic forgetting problem and to add the incremental learning capability to SVMs classifiers, we propose to use the SVM ensemble with Learn++. Various simulation results for three real world applications that the proposed SVM ensemble show promising results. © 2005 IEEE.