Nonparametric Sparsity and Regularization
In this work we are interested in the problems of supervised learning and variable selection when the input-output dependence is described by a nonlinear function depending on a few variables. Our goal is to consider a sparse nonparametric model, hence avoiding linear or additive models. The key ide...
| Main Authors: | , , , , |
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| Other Authors: | |
| Language: | en-US |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/65964 |