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Found 2 papers, 1 papers with code
Tuned Compositional Feature Replays for Efficient Stream Learning
To address the limited number of existing online stream learning datasets, we introduce 2 new benchmarks by adapting existing datasets for stream learning.
Forecasting the 2017-2018 Yemen Cholera Outbreak with Machine Learning
To address the need for a complex, reliable model, we offer the Cholera Artificial Learning Model (CALM); a system of 4 extreme-gradient-boosting (XGBoost) machine learning models that forecast the number of new cholera cases a Yemeni governorate will experience from a time range of 2 weeks to 2 months.
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