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CCS
2009
ACM
14 years 1 months ago
2009
ACM
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
EDM
2009
13 years 4 months ago
2009
This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory proce...
SP
2010
IEEE
13 years 10 months ago
2010
IEEE
Abstract—In network intrusion detection research, one popular strategy for finding attacks is monitoring a network’s activity for anomalies: deviations from profiles of norma...
ICCBR
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. When learning by observing an expert, cases can be automatically generated in an inexpensive manner. However, since this is a passive method of learning the observer has ...
AAAI
2010
13 years 8 months ago
2010
Modeling human behavior requires vast quantities of accurately labeled training data, but for ubiquitous people-aware applications such data is rarely attainable. Even researchers...