Lecture 6 Decision Tree Learning As discussed in the last lecture, the representation scheme we choose to represent our learned solutions and the way in which we learn those solutions are the most ...

The proposed method employs a pre-trained machine learning decision tree algorithm that processes the carrier-to-noise ratio (C/N0) and elevation angle data collected at 1-Hz intervals.