Probabilistic Modeling for Novelty Detection with Applications to Fraud Identification

5 Mar 2019Rémi Domingues

Novelty detection is the unsupervised problem of identifying anomalies in test data which significantly differ from the training set. Novelty detection is one of the classic challenges in Machine Learning and a core component of several research areas such as fraud detection, intrusion detection, medical diagnosis, data cleaning, and fault prevention... (read more)

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