Support vector classifier with a fuzzy-value class label

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3173, Issue , 2004, Pages 506-511

  Yang, Chan Yun ^a  

^a TECHNOLOGY AND SCIENCE INSTITUTE OF NORTHERN TAIWAN   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; GEOMETRY;

CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; DEVELOPED MODEL; FUZZY MEMBERSHIP; OPTIMAL REGIONS; SEPARATING HYPERPLANE; SUPPORT VECTOR CLASSIFIERS; TRAINING SAMPLE;

CLASSIFICATION (OF INFORMATION);

EID: 33646849766     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28647-9_84     Document Type: Article

References (5)

1. Cao, L. J., Lee, H. P., Chong, AV. K.: Modified Support Vector Novelty Detector Using Training Data With Outliers. Pattern Récognition Letters, Vol. 24 (2003) 2479-2487
2. Ke, H., Zhang, X.: Editing Support Vector Machines. Proceedings of International of Joint Conference on Neural Networks 2001, Vol. 2 (2001) 1464-1467
3. Lin, C. F., Wang, S. D.: Fuzzy Support Vector Machines. IEEE Transactions on Neural Networks, Vol. 13 No. 2 (2002) 464-471
4. Hong, D. H., Hwang, Ci: Support Vector Fuzzy Regression Machines. Fuzzy Sets and Systems, Vol. 138 (2003) 271-281.
5. Murphy, M.: UCI-Benchmark 'Repository of Artificial.and Real.Data Sets. University of California Irvine. http://www.ics.uci.edu/~mlearn (1995)