8 lines
424 B
Plaintext
8 lines
424 B
Plaintext
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There are analysis that are only possible with many datasets
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Here: unsupervised optimization
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Given multiple AD models, find which is best:
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Use AUC score? Requires Anomalies->Overfitting
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Can you find an unsupervised Method?
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In general very complicated, so here only focus on very small differences in the model.
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So each model is an autoencoder, trained on the same dataset, where the difference is only in the initialisation
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