| 1 | M. S. Shotwell and E. H. Slate, "Bayesian Outlier Detection with Dirichlet Process Mixtures", Bayesian Analysis, Vol 6, No. 4, pp. 665-690, 2011 DOI |
| 2 | S. J. Roberts, "Novelty Detection using Extreme Value Statistics," IEE Proceedings - Vision, Image, and Signal Processing, Vol. 146, No. 3, pp. 124-129, June 1999. |
| 3 | K. Chaloner and R. Brant, "A Bayesian approach to outlier detection and residual analysis," Biometrika, Vol. 75, No. 4, pp. 651-659, 1988. DOI |
| 4 | Bayesian Deep Learning, http://bayesiandeeplearning.org/, NIPS 2016 Workshop |
| 5 | MAX, Saint Security, 2017, http://www.stsc.com /max.html |
| 6 | R. J. Bolton and D. J. Hand, "Statistical Fraud Detection: A Review," Statistical Science, Vol. 17, No. 3, pp. 235-249, 2002. DOI |
| 7 | S. Maes, K. Tuyls, B. Vanschoenwinkel, and B. Manderick, "Credit Card Fraud Detection Using Bayesian and Neural Networks", Proceedings of the 1st International Naiso congress on Neuro Fuzzy Technologies, pp. 261-270, 1993 |
| 8 | M. Fortunato, C. Blundell, and O. Vinyals, "Bayesian Recurrent Neural Networks", arXiv, Vol abs/1704.02798, , 2017 |
 |
Korea Institute of Science and Technology Information
Gwahangno, Yuseong-gu, Daejeon, 305-806, Korea TEL : +82-42-869-1752
Copyright (c) 2009 KISTI. All Rights Reserved. For more information mail to
webmaster
