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1. Penalized Regression with Ordinal Predictors


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2. Random Forests for Functional Covariates


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3. Feature Selection and Weighting by Nearest Neighbor Ensembles

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4. Sparse Modeling of Categorial Explanatory Variables

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5. Feature Extraction in Signal Regression: A Boosting Technique for Functional Data Regression

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6. Having the Second Leg at Home - Advantage in the UEFA Champions League Knockout Phase?


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7. Supervised feature selection in mass spectrometry-based proteomic profiling by blockwise boosting


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8. Sparse modeling of categorial explanatory variables


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9. Sparse Modeling of Categorial Explanatory Variables

URL:
http://epub.ub.uni-muenchen.de/10625/
http://dx.doi.org/10.1214/10-AOAS355  

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10. Feature Extraction in Signal Regression: A Boosting Technique for Functional Data Regression

URL:
http://epub.ub.uni-muenchen.de/2097/
http://pubs.amstat.org/toc/jcgs/19/1  

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