Journal of Multivariate Analysis

<article class="align-center media media--type-link media--view-mode-default"><div class="field field--name-field-media-entity-link field--type-link field--label-hidden field__item"><a href="https://www.sciencedirect.com/science/article/pii/S0047259X15002201" target="_blank">146, pp. 191–208</a></div>
 
 </article>

8-feature.jpg

Feature Selection for Functional Data

Feature Selection for Functional Data - https://www.sciencedirect.com/science/article/pii/S0047259X15002201

Abstract 
We herein introduce a general procedure to capture the relevant information from a functional data set in relation to a statistical method used to analyze the data, such as, classification, regression or <a href="https://www.sciencedirect.com/topics/mathematics/principal-components">principal components</a>. The aim is to identify a small subset of functions that can “better explain” the model, highlighting its most important features. We obtain consistency results for our proposals. The computational aspects are analyzed, a heuristic stochastic algorithm is introduced and <a href="https://www.sciencedirect.com/topics/mathematics/real-data">real data</a> sets are studied.

Buscador UdeSA

Feature Selection for Functional Data

Link al Paper

Nuestras sedes:

UdeSA - Universidad de San Andrés

Comunidad Ampliada San Andrés: