These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

112 related articles for article (PubMed ID: 24808069)

  • 1. Discriminative least squares regression for multiclass classification and feature selection.
    Xiang S; Nie F; Meng G; Pan C; Zhang C
    IEEE Trans Neural Netw Learn Syst; 2012 Nov; 23(11):1738-54. PubMed ID: 24808069
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Retargeted Least Squares Regression Algorithm.
    Zhang XY; Wang L; Xiang S; Liu CL
    IEEE Trans Neural Netw Learn Syst; 2015 Sep; 26(9):2206-13. PubMed ID: 25474813
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Metric Learning-Guided Least Squares Classifier Learning.
    Geng C; Chen S
    IEEE Trans Neural Netw Learn Syst; 2018 Dec; 29(12):6409-6414. PubMed ID: 29994322
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multiclass Classification and Feature Selection Based on Least Squares Regression with Large Margin.
    Zhao H; Wang S; Wang Z
    Neural Comput; 2018 Oct; 30(10):2781-2804. PubMed ID: 30021086
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Semisupervised Feature Selection With Sparse Discriminative Least Squares Regression.
    Wang C; Chen X; Yuan G; Nie F; Yang M
    IEEE Trans Cybern; 2022 Aug; 52(8):8413-8424. PubMed ID: 33872166
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Fast Sparse Discriminative K-Means for Unsupervised Feature Selection.
    Nie F; Ma Z; Wang J; Li X
    IEEE Trans Neural Netw Learn Syst; 2024 Jul; 35(7):9943-9957. PubMed ID: 37022041
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Semisupervised feature selection via spline regression for video semantic recognition.
    Han Y; Yang Y; Yan Y; Ma Z; Sebe N; Zhou X
    IEEE Trans Neural Netw Learn Syst; 2015 Feb; 26(2):252-64. PubMed ID: 25608288
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Efficient feature selection and multiclass classification with integrated instance and model based learning.
    Liu Z; Bensmail H; Tan M
    Evol Bioinform Online; 2012; 8():197-205. PubMed ID: 22577297
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Inter-class sparsity based discriminative least square regression.
    Wen J; Xu Y; Li Z; Ma Z; Xu Y
    Neural Netw; 2018 Jun; 102():36-47. PubMed ID: 29524766
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Iterative ensemble feature selection for multiclass classification of imbalanced microarray data.
    Yang J; Zhou J; Zhu Z; Ma X; Ji Z
    J Biol Res (Thessalon); 2016 May; 23(Suppl 1):13. PubMed ID: 27437198
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Generalized and Robust Least Squares Regression.
    Wang J; Xie F; Nie F; Li X
    IEEE Trans Neural Netw Learn Syst; 2024 May; 35(5):7006-7020. PubMed ID: 36264726
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature selection.
    Luts J; Heerschap A; Suykens JA; Van Huffel S
    Artif Intell Med; 2007 Jun; 40(2):87-102. PubMed ID: 17466495
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Feature-selected tree-based classification.
    Freeman C; Kuli D; Basir O
    IEEE Trans Cybern; 2013 Dec; 43(6):1990-2004. PubMed ID: 23757587
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A genetic programming-based approach to the classification of multiclass microarray datasets.
    Liu KH; Xu CG
    Bioinformatics; 2009 Feb; 25(3):331-7. PubMed ID: 19088122
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Operator functional state classification using least-square support vector machine based recursive feature elimination technique.
    Yin Z; Zhang J
    Comput Methods Programs Biomed; 2014; 113(1):101-15. PubMed ID: 24138846
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Extreme learning machine for regression and multiclass classification.
    Huang GB; Zhou H; Ding X; Zhang R
    IEEE Trans Syst Man Cybern B Cybern; 2012 Apr; 42(2):513-29. PubMed ID: 21984515
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Efficient learning and feature selection in high-dimensional regression.
    Ting JA; D'Souza A; Vijayakumar S; Schaal S
    Neural Comput; 2010 Apr; 22(4):831-86. PubMed ID: 20028222
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multiclass cancer classification by support vector machines with class-wise optimized genes and probability estimates.
    Anand A; Suganthan PN
    J Theor Biol; 2009 Aug; 259(3):533-40. PubMed ID: 19406131
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Methods for pattern selection, class-specific feature selection and classification for automated learning.
    Roy A; Mackin PD; Mukhopadhyay S
    Neural Netw; 2013 May; 41():113-29. PubMed ID: 23391783
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multiclass from binary: expanding one-versus-all, one-versus-one and ECOC-based approaches.
    Rocha A; Goldenstein SK
    IEEE Trans Neural Netw Learn Syst; 2014 Feb; 25(2):289-302. PubMed ID: 24807029
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.