210 search results - page 1 / 42 » Detecting Errors within a Corpus using Anomaly Detection |
ANLP
2000
13 years 6 months ago
2000
We present a method for automatically detecting errors in a manually marked corpus using anomaly detection. Anomaly detection is a method for determining which elements of a large...
ICANN
2001
Springer
13 years 9 months ago
2001
Springer
This paper proposes an on-line error detecting method for a manually annotated corpus using min-max modular (M3 ) neural networks. The basic idea of the method is to use guaranteed...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Anomaly detection is an area that has received much attention in recent years. It has a wide variety of applications, including fraud detection and network intrusion detection. A ...
NIPS
2004
13 years 6 months ago
2004
We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...
ACSAC
1998
IEEE
13 years 9 months ago
1998
IEEE
The ubiquity of the Internet connection to desktops has been both boon to business as well as cause for concern for the security of digital assets that may be unknowingly exposed....