Learning to detect incidents from noisily labeled data

Author:

Šingliar Tomáš,Hauskrecht Miloš

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference27 articles.

1. Antoniades, C. N., & Stephanedes, Y. J. (1996). Single-station incident detection algorithm (SSID) for sparsely instrumented freeway sites. In Transportation engineering.

2. Bach, F., Heckerman, D., & Horvitz, E. (2005). On the path to an ideal ROC curve: considering cost asymmetry in learning classifiers. In R. G. Cowell & Z. Ghahramani (Eds.), Proceedings of AISTATS05 (pp. 9–16).

3. Busch, F., & Fellendorf, M. (1990). Automatic incident detection on motorways. Traffic Engineering and Control, 31(4), 221–227.

4. Chow, C. J. K., & Liu, C. N. (1968). Approximating discrete probability distributions with dependence trees. IEEE Transactions on Information Theory, 14(3), 462–467.

5. Cooper, G., Dash, D., Levander, J., Wong, W.-K., Hogan, W., & Wagner, M. (2004). Bayesian biosurveillance of disease outbreaks. In Proceedings of the 20th annual conference on uncertainty in artificial intelligence (UAI-04) (pp. 94–103).

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