One-class Text Classification with Multi-modal Deep Support Vector Data Description

Author:

Hu Chenlong1,Feng Yukun1,Kamigaito Hidetaka1,Takamura Hiroya2,Okumura Manabu1

Affiliation:

1. Tokyo Institute of Technology

2. National Institute of Advanced Industrial Science and Technology (AIST)

Publisher

Association for Natural Language Processing

Reference86 articles.

1. Alashwal, H., Deris, S., and Othman, R. M. (2006). “One-class Support Vector Machines for Protein-protein Interactions Prediction.” International Journal of Biological and Medical Sciences, 1 (2), pp. 120–127.

2. Bengio, Y., Ducharme, R., Vincent, P., and Jauvin, C. (2003). “A Neural Probabilistic Language Model.” Journal of Machine Learning Research, 3 (Feb), pp. 1137–1155.

3. Chalapathy, R., Menon, A. K., and Chawla, S. (2018). “Anomaly Detection using One-Class Neural Networks.” CoRR, abs/1802.06360.

4. Chandola, V., Banerjee, A., and Kumar, V. (2010). “Anomaly Detection for Discrete Sequences: A Survey.” IEEE Transactions on Knowledge and Data Engineering, 24 (5), pp. 823–839.

5. Chen, P.-H., Lin, C.-J., and Schölkopf, B. (2005). “A Tutorial on ν-Support Vector Machines.” Applied Stochastic Models in Business and Industry, 21 (2), pp. 111–136.

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