Sparse Boosting Based Machine Learning Methods for High-Dimensional Data

In high-dimensional data, penalized regression is often used for variable selection and parameter estimation. However, these methods typically require time-consuming cross-validation methods to select tuning parameters and retain more false positives under high dimensionality. This chapter discusses...

Descripción completa

Detalles Bibliográficos

Autor principal:	Yue, Mu
Formato:	Capítulo de libro
Lenguaje:	inglés
Publicado:	IntechOpen 2021
Materias:	Physical Sciences, Engineering and Technology
Acceso en línea:	https://www.intechopen.com/chapters/79053
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!