Abstract: Monotonic classification is a special ordinal classification task that involves monotonicity constraints between features and the decision. Monotonic feature selection can reduce ...
The sunset streaming through the library window outlined Midori's black hair in orange. Dan stared blankly at the 0.83297 score displayed on the screen, holding his head in his hands. "Hey, Midori ...
Abstract: Federated learning (FL) is a distributed machine learning technique that enables multiple decentralized clients to develop a model collaboratively without exchanging their local data.