Nonlinear Feature Expansion with Autoencoders for Political Event Prediction

• In Event: Machine Learning Applications

Brief Overview

This paper introduces Auto-Encoder Kernel method for event prediction. It first expands the dataset’s dimensionality through a nonlinear encoder and then applies nonlinear classifiers for improved discrimination of cases and controls.

Authors

• Budrul Ahsan, IBM Japan

• Sota Kato, International University of Japan

• Iku Yoshimoto, University of Tokyo

• Md. Nadim Mahamood, Machine Vision Lab, Begum Rokeya University, Rangpur, Bangladesh