Deep Learning

The integration of multiple data sources is a common problem in a large variety of applications. We propose a deep Siamese neural network, capable of learning a similarity measure that is tailored to the characteristics of a particular dataset. With the properties of deep learning methods, we are able to eliminate the manual feature engineering process and thus considerably reduce the effort required for model construction.

An example of using the in-built project page.