Mar 25, 2020 · To address this problem, we propose credal transfer learning (CTL) with multi-estimation for missing data based on belief function theory by ...
Mar 25, 2020 · We propose credal transfer learning (CTL) with multi-estimation for missing data based on belief function theory by introducing uncertainty and imprecision in ...
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Posted: Jun 13, 2020
Posted: Jun 13, 2020
To train a high-performance classifier and pursue high accuracy, we learn a credal classifier based on an optimized and adaptive multiestimation (OAME) method ...
Credal Transfer Learning With Multi-Estimation for Missing Data. Z Ma, Z Liu, Y Zhang, L Song, J He. IEEE Access 8, 70316-70328, 2020. 15, 2020. A distance for ...
合著作者 ; Credal Transfer Learning With Multi-Estimation for Missing Data. Z Ma, Z Liu, Y Zhang, L Song, J He. IEEE Access 8, 70316-70328, 2020. 15, 2020 ; A new ...
... Ma et al. introduced credal transfer learning (CTL), a method that introduces uncertainty and imprecision into the data-imputation process. CTL with multi- ...
Credal Transfer Learning With Multi-Estimation for Missing Data · Zongfang MaZhe Liu ; A New Belief-Based Incomplete Pattern Unsupervised Classification Method : ...
This paper proposes an exact, no-assumptions approach to dealing with incomplete sets of multivariate categorical data. An incomplete data set is regarded ...