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Linear threshold unit - PowerPoint PPT Presentation


Adaptive Fraud Detection

Adaptive Fraud Detection

Adaptive Fraud Detection. by Tom Fawcett and Foster Provost Presented by: Yunfei Zhao (updated from last year’s presentation by Adam Boyer). Outline. Problem Description Cellular cloning fraud problem Why it is important Current strategies Construction of Fraud Detector Framework

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774 views • 47 slides



CSM10: Introduction to neural networks and historical background

CSM10: Introduction to neural networks and historical background

CSM10: Introduction to neural networks and historical background. Tony Browne: A.Browne@surrey.ac.uk. Motivation. Conventional (rule-based) systems perform badly at some tasks (e.g. face recognition - may fail to recognise the same face if it is smiling (brittleness)).

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472 views • 44 slides


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