Credal Transfer Learning With Multi-Estimation for Missing Data
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DOI: 10.1109/access.2020.2983319
Abstract: Transfer learning (TL) has grown popular in recent years. It is effective to improve the classification accuracy in the target domain by using the training knowledge in the related domain (called source domain). However, the… read more here.
Keywords: multi estimation; missing data; transfer learning; estimation missing ... See more keywords
Optimal Estimation With Missing Observations via Balanced Time-Symmetric Stochastic Models
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DOI: 10.1109/tac.2017.2689685
Abstract: We consider data fusion for the purpose of smoothing and interpolation based on observation records with missing data. Stochastic processes are generated by linear stochastic models. The paper begins by drawing a connection between time… read more here.
Keywords: missing observations; time; estimation missing; observations via ... See more keywords