- -

Passive-Aggressive online learning with nonlinear embeddings

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

Passive-Aggressive online learning with nonlinear embeddings

Show full item record

Jorge-Cano, J.; Paredes Palacios, R. (2018). Passive-Aggressive online learning with nonlinear embeddings. Pattern Recognition. 79:162-171. https://doi.org/10.1016/j.patcog.2018.01.019

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/125683

Files in this item

Item Metadata

Title: Passive-Aggressive online learning with nonlinear embeddings
Author: Jorge-Cano, Javier Paredes Palacios, Roberto
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] Nowadays, there is an increasing demand for machine learning techniques which can deal with problems where the instances are produced as a stream or in real time. In these scenarios, online learning is able to learn ...[+]
Subjects: Online learning , Nonlinear functions , Passive-Aggressive , Binary classification , Nonlinear embedding
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Pattern Recognition. (issn: 0031-3203 )
DOI: 10.1016/j.patcog.2018.01.019
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.patcog.2018.01.019
Project ID:
info:eu-repo/grantAgreement/GVA//PROMETEOII%2F2014%2F030/ES/ Adaptive learning and multimodality in machine translation and text transcription/
info:eu-repo/grantAgreement/MECD//FPU2014-03981/ES/FPU2014-03981/
Thanks:
This work was developed in the framework of the PROM-ETEOII/2014/030 research project "Adaptive learning and multi modality in machine translation and text transcription", funded by the Generalitat Valenciana. The work of ...[+]
Type: Artículo

recommendations

 

This item appears in the following Collection(s)

Show full item record