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Yijun Sun: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yijun Sun, Jian Li
    Iterative RELIEF for feature weighting. [Citation Graph (0, 0)][DBLP]
    ICML, 2006, pp:913-920 [Conf]
  2. Yijun Sun, Sinisa Todorovic, Jian Li, Dapeng Wu
    Unifying the error-correcting and output-code AdaBoost within the margin framework. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:872-879 [Conf]
  3. Yijun Sun, Li Liu, Mick Popp, William G. Farmerie
    Estimation Of Cross-Hybridization Signals Using Support Vector Regression. [Citation Graph (0, 0)][DBLP]
    IMSCCS (1), 2006, pp:17-21 [Conf]
  4. Yijun Sun, Steve Goodison, Jian Li, Li Liu, William G. Farmerie
    Improved breast cancer prognosis through the combination of clinical and genetic markers. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2007, v:23, n:1, pp:30-37 [Journal]
  5. Yijun Sun, Sinisa Todorovic, Jian Li
    Reducing the Overfitting of Adaboost by Controlling its Data Distribution Skewness. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2006, v:20, n:7, pp:1093-1116 [Journal]
  6. Yijun Sun
    Iterative RELIEF for Feature Weighting: Algorithms, Theories, and Applications. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2007, v:29, n:6, pp:1035-1051 [Journal]
  7. Yijun Sun, Sinisa Todorovic, Jian Li
    Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2007, v:28, n:5, pp:631-643 [Journal]
  8. Yijun Sun, Sinisa Todorovic, Jian Li
    Increasing the Robustness of Boosting Algorithms within the Linear-programming Framework. [Citation Graph (0, 0)][DBLP]
    VLSI Signal Processing, 2007, v:48, n:1-2, pp:5-20 [Journal]

  9. Combining nomogram and microarray data for predicting prostate cancer recurrence. [Citation Graph (, )][DBLP]


  10. Estimating Microbial Population Densities Based on Genomic Signatures. [Citation Graph (, )][DBLP]


  11. Predicting Breast Cancer Metastasis by Integrating Both Clinical and Genetic Markers. [Citation Graph (, )][DBLP]


  12. Two new regularized AdaBoost algorithms. [Citation Graph (, )][DBLP]


  13. Semi-supervised feature selection under logistic I-RELIEF framework. [Citation Graph (, )][DBLP]


  14. Online Feature Selection Algorithm with Bayesian l1 Regularization. [Citation Graph (, )][DBLP]


  15. A RELIEF Based Feature Extraction Algorithm. [Citation Graph (, )][DBLP]


  16. A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality. [Citation Graph (, )][DBLP]


  17. Fast Implementation of ℓ1Regularized Learning Algorithms Using Gradient Descent Methods. [Citation Graph (, )][DBLP]


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