Fast adaptive algorithms for abrupt change detection

Author:

Nikovski Daniel,Jain Ankur

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference10 articles.

1. Atkeson, C. G., Moore, A. W., & Schaal, S. (1997). Locally weighted learning. Artificial Intelligence Review, 11(1–5), 11–73.

2. Basseville, M., & Nikiforov, I. V. (1993). Detection of abrupt changes: theory and application. Englewood Cliffs: Prentice Hall.

3. Brodsky, B. E., & Darkhovsky, B. S. (1993). Nonparametric methods in change-point problems. Dordrecht: Kluwer.

4. Fawcett, T., & Provost, F. (1999). Activity monitoring: noticing interesting changes in behavior. In Proceedings of the fifth international conference on knowledge discovery and data mining (KDD-99) (pp. 53–62).

5. Guha, S., McGregor, A., & Venkatasubramanian, S. (2006). Streaming and sublinear approximation of entropy and information distances. In Proceedings of SODA’06 (pp. 733–742). New York: ACM Press.

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