322 related articles for article (PubMed ID: 27639724)
1. Semi-supervised learning for ordinal Kernel Discriminant Analysis.
Pérez-Ortiz M; Gutiérrez PA; Carbonero-Ruz M; Hervás-Martínez C
Neural Netw; 2016 Dec; 84():57-66. PubMed ID: 27639724
[TBL] [Abstract][Full Text] [Related]
2. Projection-based ensemble learning for ordinal regression.
Pérez-Ortiz M; Gutiérrez PA; Hervás-Martínez C
IEEE Trans Cybern; 2014 May; 44(5):681-94. PubMed ID: 23807481
[TBL] [Abstract][Full Text] [Related]
3. Incremental Learning to Personalize Human Activity Recognition Models: The Importance of Human AI Collaboration.
Siirtola P; Röning J
Sensors (Basel); 2019 Nov; 19(23):. PubMed ID: 31775243
[TBL] [Abstract][Full Text] [Related]
4. A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica.
Calderon-Ramirez S; Murillo-Hernandez D; Rojas-Salazar K; Elizondo D; Yang S; Moemeni A; Molina-Cabello M
Med Biol Eng Comput; 2022 Apr; 60(4):1159-1175. PubMed ID: 35239108
[TBL] [Abstract][Full Text] [Related]
5. A Drug-Target Network-Based Supervised Machine Learning Repurposing Method Allowing the Use of Multiple Heterogeneous Information Sources.
Nascimento ACA; Prudêncio RBC; Costa IG
Methods Mol Biol; 2019; 1903():281-289. PubMed ID: 30547449
[TBL] [Abstract][Full Text] [Related]
6. Incremental learning algorithm for large-scale semi-supervised ordinal regression.
Chen H; Jia Y; Ge J; Gu B
Neural Netw; 2022 May; 149():124-136. PubMed ID: 35228149
[TBL] [Abstract][Full Text] [Related]
7. Iterative processes: a review of semi-supervised machine learning in rehabilitation science.
Kringle EA; Knutson EC; Engstrom C; Terhorst L
Disabil Rehabil Assist Technol; 2020 Jul; 15(5):515-520. PubMed ID: 31282778
[No Abstract] [Full Text] [Related]
8. Joint sparse graph and flexible embedding for graph-based semi-supervised learning.
Dornaika F; El Traboulsi Y
Neural Netw; 2019 Jun; 114():91-95. PubMed ID: 30901575
[TBL] [Abstract][Full Text] [Related]
9. Bearing defect diagnosis based on semi-supervised kernel Local Fisher Discriminant Analysis using pseudo labels.
Tao X; Ren C; Li Q; Guo W; Liu R; He Q; Zou J
ISA Trans; 2021 Apr; 110():394-412. PubMed ID: 33069372
[TBL] [Abstract][Full Text] [Related]
10. Domain Adaptation Based on Semi-Supervised Cross-Domain Mean Discriminative Analysis and Kernel Transfer Extreme Learning Machine.
Li X; Ma J
Sensors (Basel); 2023 Jul; 23(13):. PubMed ID: 37447950
[TBL] [Abstract][Full Text] [Related]
11. Discriminative clustering via extreme learning machine.
Huang G; Liu T; Yang Y; Lin Z; Song S; Wu C
Neural Netw; 2015 Oct; 70():1-8. PubMed ID: 26143036
[TBL] [Abstract][Full Text] [Related]
12. A unified semi-supervised model with joint estimation of graph, soft labels and latent subspace.
Dornaika F; Baradaaji A
Neural Netw; 2023 Sep; 166():248-259. PubMed ID: 37523927
[TBL] [Abstract][Full Text] [Related]
13. A trace ratio maximization approach to multiple kernel-based dimensionality reduction.
Jiang W; Chung FL
Neural Netw; 2014 Jan; 49():96-106. PubMed ID: 24211342
[TBL] [Abstract][Full Text] [Related]
14. Robust Face Recognition Based on a New Supervised Kernel Subspace Learning Method.
Khalili Mobarakeh A; Cabrera Carrillo JA; Castillo Aguilar JJ
Sensors (Basel); 2019 Apr; 19(7):. PubMed ID: 30959875
[TBL] [Abstract][Full Text] [Related]
15. Learning image features with fewer labels using a semi-supervised deep convolutional network.
Dos Santos FP; Zor C; Kittler J; Ponti MA
Neural Netw; 2020 Dec; 132():131-143. PubMed ID: 32871338
[TBL] [Abstract][Full Text] [Related]
16. Semi-supervised linear discriminant clustering.
Liu CL; Hsaio WH; Lee CH; Gou FS
IEEE Trans Cybern; 2014 Jul; 44(7):989-1000. PubMed ID: 23996591
[TBL] [Abstract][Full Text] [Related]
17. Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology.
Li X; Bai Y; Peng Y; Du S; Ying S
Int J Neural Syst; 2018 Mar; 28(2):1750040. PubMed ID: 28982281
[TBL] [Abstract][Full Text] [Related]
18. Convolutional sparse kernel network for unsupervised medical image analysis.
Ahn E; Kumar A; Fulham M; Feng D; Kim J
Med Image Anal; 2019 Aug; 56():140-151. PubMed ID: 31229759
[TBL] [Abstract][Full Text] [Related]
19. Vicinal support vector classifier using supervised kernel-based clustering.
Yang X; Cao A; Song Q; Schaefer G; Su Y
Artif Intell Med; 2014 Mar; 60(3):189-96. PubMed ID: 24637294
[TBL] [Abstract][Full Text] [Related]
20. A distributed semi-supervised learning algorithm based on manifold regularization using wavelet neural network.
Xie J; Liu S; Dai H
Neural Netw; 2019 Oct; 118():300-309. PubMed ID: 31330270
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
