Toward Supervised Anomaly Detection
نویسندگان
چکیده
منابع مشابه
Toward Supervised Anomaly Detection
Anomaly detection is being regarded as an unsupervised learning task as anomalies stem from adversarial or unlikely events with unknown distributions. However, the predictive performance of purely unsupervised anomaly detection often fails to match the required detection rates in many tasks and there exists a need for labeled data to guide the model generation. Our first contribution shows that...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2013
ISSN: 1076-9757
DOI: 10.1613/jair.3623