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Semi-supervised Multi-class Classification Methods Based on Laplacian Vector Projection.

, and . NCAA (1), volume 1869 of Communications in Computer and Information Science, page 160-174. Springer, (2023)

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Density-Induced Support Vector Data Description for Fault Detection on Tennessee Eastman Process., , , and . ICONIP (4), volume 11304 of Lecture Notes in Computer Science, page 522-531. Springer, (2018)Semi-supervised Multi-class Classification Methods Based on Laplacian Vector Projection., and . NCAA (1), volume 1869 of Communications in Computer and Information Science, page 160-174. Springer, (2023)An Altered Kernel Transformation for Time Series Classification., , , , and . ICONIP (5), volume 10638 of Lecture Notes in Computer Science, page 455-465. Springer, (2017)Laplacian pair-weight vector projection for semi-supervised learning., and . Inf. Sci., (2021)Laplacain Pair-Weight Vector Projection with Adaptive Neighbor Graph for Semi-supervised Learning., and . NCAA (1), volume 1637 of Communications in Computer and Information Science, page 235-246. Springer, (2022)Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis., , , , and . Appl. Intell., 48 (10): 3306-3331 (2018)Feature Selection Based on the Kullback-Leibler Distance and its Application on Fault Diagnosis., , , and . CBD, page 246-251. IEEE, (2019)Dissimilarity-Based Sequential Backward Feature Selection Algorithm for Fault Diagnosis., , and . ICONIP (4), volume 10637 of Lecture Notes in Computer Science, page 393-401. Springer, (2017)Adaptive Pair-Weight Vector Projection Classifier for Semi-Supervised Classification., and . IEEE Trans. Consumer Electron., 70 (1): 3269-3278 (February 2024)