Boosting for partially linear additive models
Additive models are widely applied in statistical learning. The partially linear additive model is a special form of additive models, which combines the strengths of linear and nonlinear models by allowing linear and nonlinear predictors to coexist. One of the most interesting questions associated w...
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| Format: | Theses and Dissertations |
| Language: | English |
| Published: |
2016
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| Online Access: | https://hdl.handle.net/10356/69082 |
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| Institution: | Nanyang Technological University |
| Language: | English |