most citedEfficient Fraud Detection Using Deep Boosting Decision Trees

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cs.LG2020

Isolation Distributional Kernel: A New Tool for Point & Group Anomaly Detection

Kai Ming Ting, Bi-Cun Xu, Takashi Washio +1

We introduce Isolation Distributional Kernel as a new way to measure the similarity between two distributions. Existing approaches based on kernel mean embedding, which convert a p…