320 search results - page 5 / 64 » Outlier detection by active learning |
ASPLOS
2010
ACM
14 years 3 months ago
2010
ACM
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
ECML
2007
Springer
14 years 2 months ago
2007
Springer
We introduce a modified Kalman filter that performs robust, real-time outlier detection, without the need for manual parameter tuning by the user. Systems that rely on high quali...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is d...
DPD
2002
13 years 8 months ago
2002
Data mining is a new, important and fast growing database application. Outlier (exception) detection is one kind of data mining, which can be applied in a variety of areas like mon...
TASLP
2010
13 years 3 months ago
2010
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...