Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...

In order to eliminate the dimensional influence between different features and improve the effectiveness of model training ... Between the encoder and decoder, the autoencoder learns the feature ...

Data quality is crucial for model performance, so the behavioral data collected in the data preprocessing stage typically contains multiple features with different dimensions ... Between the encoder ...