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Improving nonparametric regression methods by bagging and boostingBORRA, Simone; DI CIACCIO, Agostino.Computational statistics & data analysis. 2002, Vol 38, Num 4, pp 407-420, issn 0167-9473Conference Paper

Nonlinear methods and data miningBORRA, Simone; DI CIACCIO, Agostino.Computational statistics & data analysis. 2002, Vol 38, Num 4, issn 0167-9473, 180 p.Conference Proceedings

Measuring the prediction error. A comparison of cross-validation, bootstrap and covariance penalty methods : Variable selection and robust proceduresBORRA, Simone; DI CIACCIO, Agostino.Computational statistics & data analysis. 2010, Vol 54, Num 12, pp 2976-2989, issn 0167-9473, 14 p.Article

Looking for lumps: boosting and bagging for density estimationRIDGEWAY, Greg.Computational statistics & data analysis. 2002, Vol 38, Num 4, pp 379-392, issn 0167-9473Conference Paper

Data fusion and data graftingSAPORTA, Gilbert.Computational statistics & data analysis. 2002, Vol 38, Num 4, pp 465-473, issn 0167-9473Conference Paper

Effect of pruning and early stopping on performance of a boosting ensembleDRUCKER, Harris.Computational statistics & data analysis. 2002, Vol 38, Num 4, pp 393-406, issn 0167-9473Conference Paper

A theoretical framework for Data Mining: the Informational ParadigmCOPPI, Renato.Computational statistics & data analysis. 2002, Vol 38, Num 4, pp 501-515, issn 0167-9473Conference Paper

On estimating conditional quantiles and distribution functionsPERACCHI, Franco.Computational statistics & data analysis. 2002, Vol 38, Num 4, pp 433-447, issn 0167-9473Conference Paper

Stochastic gradient boostingFRIEDMAN, Jerome H.Computational statistics & data analysis. 2002, Vol 38, Num 4, pp 367-378, issn 0167-9473Conference Paper

Data mining of association structures to model consumer behaviourGIUDICI, Paolo; PASSERONE, Gianluca.Computational statistics & data analysis. 2002, Vol 38, Num 4, pp 533-541, issn 0167-9473Conference Paper

Learning from imprecise data: possibilistic graphical modelsBORGELT, Christian; KRUSE, Rudolf.Computational statistics & data analysis. 2002, Vol 38, Num 4, pp 449-463, issn 0167-9473Conference Paper

Generalized additive multi-mixture model for data miningCONVERSANO, Claudio; SICILIANO, Roberta; MOLA, Francesco et al.Computational statistics & data analysis. 2002, Vol 38, Num 4, pp 487-500, issn 0167-9473Conference Paper

Regularization and statistical learning theory for data analysisEVGENIOU, Theodoros; POGGIO, Tomaso; PONTIL, Massimiliano et al.Computational statistics & data analysis. 2002, Vol 38, Num 4, pp 421-432, issn 0167-9473Conference Paper

Bayesian partition modellingDENISON, D. G. T; ADAMS, N. M; HOLMES, C. C et al.Computational statistics & data analysis. 2002, Vol 38, Num 4, pp 475-485, issn 0167-9473Conference Paper

Webmining: learning from the world wide webLARSEN, Jan; HANSEN, Lars Kai; HAVE, Anna Szymkowiak et al.Computational statistics & data analysis. 2002, Vol 38, Num 4, pp 517-532, issn 0167-9473Conference Paper

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