Traffic Forecasting via Dilated Temporal Convolution With Peak-Sensitive Loss
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Intelligent Transportation Systems Magazine"
DOI: 10.1109/mits.2021.3119869
Abstract: Deep learning-based traffic forecasting methods can capture intricate spatiotemporal features in traffic data and environmental factors. However, they have unsatisfactory performance around the minority peaks and are inefficient for modeling wide-range spatial correlations. This article… read more here.
Keywords: sensitive loss; traffic forecasting; peak sensitive; loss ... See more keywords
Low-Complexity Constrained Recursive Kernel Risk-Sensitive Loss Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14050877
Abstract: The constrained recursive maximum correntropy criterion (CRMCC) combats the non-Gaussian noise effectively. However, the performance surface of maximum correntropy criterion (MCC) is highly non-convex, resulting in low accuracy. Inspired by the smooth kernel risk-sensitive loss… read more here.
Keywords: kernel risk; sensitive loss; risk sensitive; constrained recursive ... See more keywords