Qiang Wu
Affiliations: | Michigan State University, East Lansing, MI |
Area:
Statistical learningGoogle:
"Qiang Wu"Mean distance: 16.01 (cluster 29) | S | N | B | C | P |
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Publications
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| Chirstmann A, Wu Q, Zhou D. (2020) Preface to the special issue on analysis in machine learning and data science Communications On Pure and Applied Analysis. 19 |
| Tong H, Wu Q. (2020) Moving quantile regression Journal of Statistical Planning and Inference. 205: 46-63 |
| Feng Y, Wu Q. (2020) Learning under (1 + ϵ)-moment conditions Applied and Computational Harmonic Analysis. 49: 495-520 |
| Hu T, Wu Q, Zhou D. (2020) Distributed kernel gradient descent algorithm for minimum error entropy principle Applied and Computational Harmonic Analysis. 49: 229-256 |
| Cui S, Wu Q, West J, et al. (2019) Machine learning-based microarray analyses indicate low-expression genes might collectively influence PAH disease. Plos Computational Biology. 15: e1007264 |
| Yang X, Wu Q, Zou J, et al. (2016) Spatial Regularization for Multitask Learning and Application in fMRI Data Analysis British Journal of Mathematics & Computer Science. 14: 1-13 |
| Micchelli CA, Pontil M, Wu Q, et al. (2016) Error bounds for learning the kernel Analysis and Applications. 14: 849-868 |
| Fan J, Hu T, Wu Q, et al. (2016) Consistency analysis of an empirical minimum error entropy algorithm Applied and Computational Harmonic Analysis. 41: 164-189 |
| Sun H, Wu Q. (2015) Sparse Representation in Kernel Machines. Ieee Transactions On Neural Networks and Learning Systems |
| Hu T, Fan J, Wu Q, et al. (2015) Regularization schemes for minimum error entropy principle Analysis and Applications. 13: 437-455 |