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Found 5 papers, 0 papers with code
The mean-variance portfolio selection based on the average and current profitability of the risky asset
We study the continuous-time pre-commitment mean-variance portfolio selection in a time-varying financial market.
Deep learning radiomics for assessment of gastroesophageal varices in people with compensated advanced chronic liver disease
Validation analysis revealed that the AUCs of DLRP were 0. 91 for GEV (95% CI 0. 90 to 0. 93, p < 0. 05) and 0. 88 for HRV (95% CI 0. 86 to 0. 89, p < 0. 01), which were significantly and robustly better than canonical risk indicators, including the value of LSM and SSM.
Application of Knowledge Distillation to Multi-task Speech Representation Learning
Model architectures such as wav2vec 2. 0 and HuBERT have been proposed to learn speech representations from audio waveforms in a self-supervised manner.
Multi-task Voice Activated Framework using Self-supervised Learning
Finally, we extend our framework to perform multi-task learning by jointly optimizing the network parameters on multiple voice activated tasks using a shared transformer backbone.
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Character Distributions of Classical Chinese Literary Texts: Zipf's Law, Genres, and Epochs
We collect 14 representative corpora for major periods in Chinese history in this study.
