Natively Interpretable Machine Learning and Artificial Intelligence: Preliminary Results and Future Directions

Christopher J. Hazard, Christopher Fusting, Michael Resnick +3

Machine learning models have become more and more complex in order to better approximate complex functions. Although fruitful in many domains, the added complexity has come at the…