Machine learning algorithms for event detection: AAA special issue of Machine Learning

Machine Learning

Volumn 79, Issue 3, 2010, Pages 257-259

  Margineantu, Dragos ^a   Wong, Weng Keen ^b   Dash, Denver ^c  

^a BOEING COMPANY   (United States)

^b OREGON STATE UNIVERSITY   (United States)

^c INTEL CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 77953023846     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-010-5184-9     Document Type: Editorial

References (4)

1. Neill, D., & Cooper, G. (2010). A multivariate Bayesian scan statistic for early event detection and characterization. Machine Learning (this issue), doi: 10.1007/s10994-009-5144-4
2. Nikovski, D., & Jain, A. (2010). Fast adaptive algorithms for abrupt change detection. Machine Learning (this issue), doi: 10.1007/s10994-009-5122-x
3. Singliar, T., & Hauskrecht, M. (2010). Learning to detect incidents from noisily labeled data. Machine Learning (this issue), doi: 10.1007/s10994-009-5141-7
4. Tandon, G., & Chan, P. (2010). Increasing coverage to improve detection of network and host anomalies. Machine Learning (this issue), doi: 10.1007/s10994-009-5145-3