Multi-task learning for one-class SVM with additional new features

Proceedings - International Conference on Pattern Recognition

Volumn 0, Issue , 2016, Pages 1571-1576

  Xue, Yongjian ^a   Beauseroy, Pierre ^a  

^a UNIVERSITÉ DE TECHNOLOGIE DE TROYES   (France)

Author keywords

Evolving feature space; Multi task learning; One class SVM; Outliers detection

Indexed keywords

HEURISTIC ALGORITHMS; HEURISTIC METHODS; LEARNING SYSTEMS;

FEATURE SPACE; HEURISTIC SEARCH METHODS; MULTITASK LEARNING; ONE CLASS-SVM; ONE-CLASS CLASSIFICATION; OUTLIERS DETECTION; PROBABILITY OF FALSE NEGATIVES; PROBABILITY OF FALSE POSITIVES;

PATTERN RECOGNITION;

EID: 85019127182     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2016.7899861     Document Type: Conference Paper

References (8)

1. S. S. Khan and M. G. Madden, "A survey of recent trends in one class classification, " in Artificial Intelligence and Cognitive Science. Springer, 2009, pp. 188-197.
2. D. M. Tax and R. P. Duin, "Support vector domain description, " Pattern recognition letters, vol. 20, no. 11, pp. 1191-1199, 1999.
3. B. Schölkopf, J. C. Platt, J. Shawe-Taylor, A. J. Smola, and R. C. Williamson, "Estimating the support of a high-dimensional distribution, " Neural computation, vol. 13, no. 7, pp. 1443-1471, 2001.
4. C.-C. Chang and C.-J. Lin, "Training v-support vector classifiers: theory and algorithms, " Neural computation, vol. 13, no. 9, pp. 2119-2147, 2001.
5. T. Evgeniou and M. Pontil, "Regularized multi-task learning, " in Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2004, pp. 109-117.
6. H. Yang, I. King, and M. R. Lyu, "Multi-task learning for one-class classification, " in Neural Networks (IJCNN), The 2010 International Joint Conference on. IEEE, 2010, pp. 1-8.
7. X. He, G. Mourot, D. Maquin, J. Ragot, P. Beauseroy, A. Smolarz, and E. Grall-Maës, "Multi-task learning with one-class svm, " Neurocomputing, vol. 133, pp. 416-426, 2014.
8. P. Cortez, A. Cerdeira, F. Almeida, T. Matos, and J. Reis, "Modeling wine preferences by data mining from physicochemical properties, " Decision Support Systems, vol. 47, no. 4, pp. 547-553, 2009.