Conformal Loss-Controlling Prediction
Conformal Loss-Controlling Prediction is a scholarly work, published in 2024 in ''IEEE Transactions on Neural Networks and Learning Systems''. The main subjects of the publication include sample, regularization, point, mathematics, data mining, extension, artificial intelligence, computer science, hydrological model, class, statistics, biological function, conformal map, machine learning, and algorithm. The work proposes a learning framework named conformal loss-controlling prediction, which extends CP to the situation where the value of a loss function needs to be controlled.