Title :
A Novel Semi-Supervised Learning Methods Using Support Vector Domain Description
Author :
Lee, Daewon ; Lee, Jaewook
Author_Institution :
Pohang Univ. of Sci. & Technol., Pohang
Abstract :
A new learning algorithm for semi-supervised learning is proposed. The proposed method utilizes a support vector machine to describe domains and a dynamical system to decompose the data space into several labelled disjoint regions. It can classify unlabelled data and predict new unknown data. Effectiveness of the method is verified through simulation results.
Keywords :
learning (artificial intelligence); support vector machines; dynamical system; semisupervised learning method; support vector machine; Bioinformatics; Humans; Kernel; Machine learning; Semisupervised learning; Space technology; Supervised learning; Support vector machine classification; Support vector machines; Unsupervised learning;
Conference_Titel :
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9490-9
DOI :
10.1109/IJCNN.2006.247375
