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A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...
A research team led by Prof. Mao Miaohua at the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences, ...
Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.
MOF-MoS2 Nanosheets Doped PEDOT:PSS for Organic Electrochemical Transistors in Enhanced Glucose Sensing and Machine Learning-based Concentration Prediction[J]. Materials Futures. DOI: 10.1088/2752 ...
A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...
The researchers found that their BigMHC model yields powerful presentation and immunogenicity prediction, but they also highlighted limitations to machine learning-based predictions. “This is just ...
Toffel, Michael, and Natalie Epstein. Assessing Prediction Accuracy of Machine Learning Models. Harvard Business School Tutorial 621-706, February 2021. (Click here to access this tutorial.) ...
Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. ...