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yzhao062 committed Sep 4, 2018
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5 changes: 4 additions & 1 deletion README.md
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2. **Feature Bagging** [9]

5. Neural Networks and Deep Learning Models (implemented in Keras)
1. **AutoEncoder with Fully Connected NN** [16, Chapter 3]
1. **AutoEncoder with Fully Connected NN** [16, Chapter 3]

FAQ regarding AutoEncoder in PyOD and debugging advices:
[known issues](https://github.com/yzhao062/Pyod/issues/19)

***Outlier Detector/Scores Combination Frameworks***:
1. **Feature Bagging**: build various detectors on random selected features [9]
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3 changes: 2 additions & 1 deletion docs/index.rst
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3. Probabilistic Models for Outlier Detection:

i. **ABOD: Angle-Based Outlier Detection** cite:`a-kriegel2008angle`: :class:`pyod.models.abod.ABOD`
i. **ABOD: Angle-Based Outlier Detection** :cite:`a-kriegel2008angle`: :class:`pyod.models.abod.ABOD`
ii. **FastABOD: Fast Angle-Based Outlier Detection using approximation** cite:`a-kriegel2008angle`: :class:`pyod.models.abod.ABOD`

4. Outlier Ensembles and Combination Frameworks
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5. Neural Networks and Deep Learning Models (implemented in Keras):
i. **AutoEncoder with Fully Connected NN** :cite:`a-aggarwal2015outlier`: :class:`pyod.models.auto_encoder.AutoEncoder`
FAQ regarding AutoEncoder in PyOD and debugging advices: `known issues <https://github.com/yzhao062/Pyod/issues/19>`_

**Outlier Detector/Scores Combination Frameworks**:

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