Letter/Communication
Discussion on "Double sparsity kernel learning with automatic variable selection and data extraction"
Statistics and its interface, Vol.11(3), pp.421-422
01/01/2018
DOI: 10.4310/SII.2018.v11.n3.a2
Abstract
Chen et al. (2018) presented a kernel learning method with double sparsity penalties to achieve variable selection and data extraction simultaneously. In this article, we highlight the authors' contributions and provide several remarks that may be worth further discussions and exploration.
Details
- Title: Subtitle
- Discussion on "Double sparsity kernel learning with automatic variable selection and data extraction"
- Creators
- Yuan Huang - University of IowaShuangge Ma - Yale University
- Resource Type
- Letter/Communication
- Publication Details
- Statistics and its interface, Vol.11(3), pp.421-422
- DOI
- 10.4310/SII.2018.v11.n3.a2
- ISSN
- 1938-7989
- eISSN
- 1938-7997
- Publisher
- Int Press Boston, Inc
- Number of pages
- 2
- Language
- English
- Date published
- 01/01/2018
- Academic Unit
- Biostatistics
- Record Identifier
- 9984364417302771
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