Max Margin Polyhedral Conic Function Classifier

Orturk G., CEYLAN G.

International Conference on Computational Science and Computational Intelligence (CSIC), Nevada, Amerika Birleşik Devletleri, 15 - 17 Aralık 2016, ss.1395-1396 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/csci.2016.265
  • Basıldığı Şehir: Nevada
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.1395-1396
  • Anahtar Kelimeler: Classification, SVM, GEPSVM, PCF
  • Anadolu Üniversitesi Adresli: Evet

Özet

In classification problems, generalization ability has a key role for successful prediction. Well known Support Vector Machine classifier, tries to increase generalization ability via maximizing the margin, which is the distance between two parallel hyperplanes on the closest points. In this work we investigate maximizing the margin on non-parallel multi surfaces, by adapting GEPSVM* to Polyhedral Conic Function Classifiers.