Machine Learning Techniques for Stellar Light Curve Classification

Trisha Hinners, Kevin Tat, Rachel Thorp

We apply machine learning techniques in an attempt to predict and classify stellar properties from noisy and sparse time series data. We preprocessed over 94 GB of Kepler light cur…