Departamento de Matemáticas UAM

  • Inicio
  • Inicio (2)
  • Presentación
  • Directorio
  • Organigrama
  • Intranet
  • Convocatoria de plazas
Mes anteior Día anterior
Anual
Mensual
Semanal
Diario
Buscar
Ir al mes específico
Día siguiente Mes siguiente
Anual Mensual Semanal Hoy Buscar Ir al mes específico
Machine learning in Madrid

Machine learning in Madrid

Lunes, 26 de abril de 2021, 12-13h

 

Ponente: Antonio Cuevas (UAM)

 

Título: On distance choice in machine learning

 

Enlace:   https://conectaha.csic.es/b/mar-mrf-oj9-ui0

 

 

Resumen: This talk will be focused on supervised binary classification problems in which the data space is infinite-dimensional. Such a situation arises in many typical cases of functional data, such as temperature registrations, spectral curves, electrocardiograms etc., but also in pattern recognition problems involving images or shapes. The choice of an appropriate distance between data is particularly important in such settings.

 

Three particular examples will be briefly discussed: a functional version of the Mahalanobis distance (suitable for trajectories of L2-processes), a “visual metric” (suitable for spectrometric curves) and a “probabilistic distance” (adapted to problems of shape discrimination).

 

The contents of this talk are a summary of several recent joint works with different co-authors: J. R. Berrendero, A. Cholaquidis, B. Bueno, R. Fraiman, and B. Pateiro. 

 

 

 

Localización Lunes, 26 de abril de 2021, 12-13h
CSS Valid | XHTML Valid | Top | + | - | reset
Copyright © Eximium 2025 All rights reserved. Custom Design by Youjoomla.com
Inicio