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Yijun Sun:
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Publications of Author
- Yijun Sun, Jian Li
Iterative RELIEF for feature weighting. [Citation Graph (0, 0)][DBLP] ICML, 2006, pp:913-920 [Conf]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
Combining nomogram and microarray data for predicting prostate cancer recurrence. [Citation Graph (, )][DBLP]
Estimating Microbial Population Densities Based on Genomic Signatures. [Citation Graph (, )][DBLP]
Predicting Breast Cancer Metastasis by Integrating Both Clinical and Genetic Markers. [Citation Graph (, )][DBLP]
Two new regularized AdaBoost algorithms. [Citation Graph (, )][DBLP]
Semi-supervised feature selection under logistic I-RELIEF framework. [Citation Graph (, )][DBLP]
Online Feature Selection Algorithm with Bayesian l1 Regularization. [Citation Graph (, )][DBLP]
A RELIEF Based Feature Extraction Algorithm. [Citation Graph (, )][DBLP]
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality. [Citation Graph (, )][DBLP]
Fast Implementation of ℓ1Regularized Learning Algorithms Using Gradient Descent Methods. [Citation Graph (, )][DBLP]
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