Submodular Meta Data Compiling for Meta Optimization
F Su, Y Zhu, O Wu, Y Deng - Joint European Conference on Machine …, 2022 - Springer
The search for good hyper-parameters is crucial for various deep learning methods. In
addition to the hyper-parameter tuning on validation data, meta-learning provides a …
addition to the hyper-parameter tuning on validation data, meta-learning provides a …
Deep Learning-based Segmentation of Thermal Images for Heat Loss Detection in Building Façade
This study addresses the heat loss problem in buildings by developing the heat loss
detection network (HLDNet). The HLDNet is a novel machine learning model incorporating …
detection network (HLDNet). The HLDNet is a novel machine learning model incorporating …