venres, marzo 2, 2018

venres, 2 marzo, 2018 -
11:30 - 13:30

This thesis develops and applies Machine Learning methods to classification and regression problems. In the former scope, new methods for dimensionality reduction are proposed, specifically oriented to project high-dimensional patterns into a 2D space where the classification problem can be visualized and understood. The patterns projected into 2D can be used to train a classifier in order to create a classification map composed by the regions of the 2D space assigned to each class.