173 search results - page 1 / 35 » Outlier Detection by Logic Programming |
CORR
2004
Springer
13 years 4 months ago
2004
Springer
ASP
2003
Springer
13 years 10 months ago
2003
Springer
Default logic is used to describe regular behavior and normal properties. We suggest to exploit the framework of default logic for detecting outliers - individuals who behave in a...
AAAI
2006
13 years 6 months ago
2006
One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
ASPLOS
2010
ACM
13 years 11 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...
FSS
2006
13 years 4 months ago
2006
Since Tanaka et al. in 1982 proposed a study in linear regression with a fuzzy model, fuzzy regression analysis has been widely studied and applied in various areas. However, Tana...