Unsupervised learning is used mainly to discover patterns and detect outliers in data today, ... Essentially, the autoencoder is a feed-forward network that acts as a codec, ...

The article propose a novel representation learning method based on an integrated autoencoders for unsupervised domain adaptation, called IAUDA. To capture the inter- and inner-domain features of ...

We introduce unFEAR, Unsupervised Feature Extraction Clustering, to identify economic crisis regimes. Given labeled crisis and non-crisis episodes and the corresponding features values, unFEAR uses ...