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Watch Fullscreen ❯

◈ EN | JP ◆

Lesson 13    ❮    Lesson List    ❮    Top Page


◆  Intro to Anomaly Detection


◆  Nearest-neighbor-based Methods 


◆  Clustering-based Methods


◆  Statistical-based Methods


◈  Model-based Methods


⟐  Implementation


CORRECTION
In the video, the input and output layer of RNN should be the features not the data points (see the attached slides).

See also the following links:

▎ENGLISH

A decomposition of the outlier detection problem into a set of supervised learning problems
▸ https://link.springer.com/article/10.1007/s10994-015-5507-y

Outlier detection using Replicator Neural Network
▸ https://togaware.com/papers/dawak02.pdf

©2023. All rights reserved.  Samy Baladram,
Graduate Program in Data Science - GSIS - Tohoku University
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