21 results on '"Gao, Ying-Lian"'
Search Results
2. Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification
3. Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification
4. Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations
5. Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification
6. MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation
7. Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data
8. Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification
9. A Simple Review of Sparse Principal Components Analysis
10. Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data
11. Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations
12. Graph Regularized Non-negative Matrix with L0-Constraints for Selecting Characteristic Genes
13. Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection
14. A Two-Stage Sparse Selection Method for Extracting Characteristic Genes
15. Semi-supervised Feature Extraction for RNA-Seq Data Analysis
16. Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data
17. A Simple Review of Sparse Principal Components Analysis
18. Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data
19. A Two-Stage Sparse Selection Method for Extracting Characteristic Genes
20. Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection
21. Graph Regularized Non-negative Matrix with L0-Constraints for Selecting Characteristic Genes
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.