13 lines
595 B
Plaintext
13 lines
595 B
Plaintext
<section Experiments 3>
|
|
<frame title="Unsupervised Optimization">
|
|
<list>
|
|
<e>There are analysis that are only possible with many datasets</e>
|
|
<e>Here: unsupervised optimization</e>
|
|
<e>Given multiple AD models, find which is best:</e>
|
|
<e>Use AUC score? Requires Anomalies->Overfitting</e>
|
|
<e>Can you find an unsupervised Method?</e>
|
|
<e>In general very complicated, so here only focus on very small differences in the model.</e>
|
|
<e>So each model is an autoencoder, trained on the same dataset, where the difference is only in the initialisation</e>
|
|
</list>
|
|
</frame>
|