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Adaptive regression for modeling nonlinear relationships / George J. Knafl, Kai Ding
| Adaptive regression for modeling nonlinear relationships / George J. Knafl, Kai Ding |
| Autore | Knafl, George J. |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XXVI, 372 p. : ill. ; 24 cm |
| Altri autori (Persone) | Ding, Kai |
| Soggetto topico |
62H12 - Estimation in multivariate analysis [MSC 2020]
62J02 - General nonlinear regression [MSC 2020] 62-XX - Statistics [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62G08 - Nonparametric regression and quantile regression [MSC 2020] |
| Soggetto non controllato |
Adaptive Modeling
Cross-validation Fractional polynomials Generalized additive modeling Heuristic search Nonlinear regression |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114260 |
Knafl, George J.
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Dimensionality Reduction in Data Science / Max Garzon ... [et al.] editors
| Dimensionality Reduction in Data Science / Max Garzon ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xi, 265 p. : ill. ; 24 cm |
| Soggetto non controllato |
Classification/Prediction
Cross-validation DNA hybridization Data Visualization Data science platforms Deep learning/Backpropagation Dimensionality reduction Experimental control Explainable solutions Extreme Dimensionality reduction Geometric methods Independent component analysis Information-theoretic methods Machine learning Molecular Methods No-Free-Lunch (NFL) theorem Regression methods Semi/Unsupervised learning Statistical Methods Supervised learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277281 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Personality Traits and Drug Consumption : A Story Told by Data / Elaine Fehrman … [et al.]]
| Personality Traits and Drug Consumption : A Story Told by Data / Elaine Fehrman … [et al.]] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | vi, 168 p. : ill. ; 24 cm |
| Soggetto topico |
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62P15 - Applications of statistics to psychology [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Categorical PCA
Classification Cross-validation Decision tree Drug consumption Linear discriminant analysis Machine learning Personality models Polychoric correlation Principal component analysis Psychological profile Sparse PCA Visualization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127102 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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