Evolving explainable rule sets

Author:

Shahrzad Hormoz1,Hodjat Babak2,Miikkulainen Risto1

Affiliation:

1. UT Austin

2. Cognizant AI Labs

Publisher

ACM

Reference21 articles.

1. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

2. Principles and Practice of Explainable Machine Learning

3. Greg Brockman , Vicki Cheung , Ludwig Pettersson , Jonas Schneider , John Schulman , Jie Tang , and Wojciech Zaremba . 2016. Open AI Gym . CoRR abs/1606.01540 ( 2016 ). Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, and Wojciech Zaremba. 2016. OpenAI Gym. CoRR abs/1606.01540 (2016).

4. Davide Chicco and Giuseppe Jurman . 2020. Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone. BMC medical informatics and decision making 20, 1 ( 2020 ), 1--16. Davide Chicco and Giuseppe Jurman. 2020. Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone. BMC medical informatics and decision making 20, 1 (2020), 1--16.

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