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Passive-Aggressive online learning with nonlinear embeddings

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Passive-Aggressive online learning with nonlinear embeddings

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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

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Title: Passive-Aggressive online learning with nonlinear embeddings
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Embargo end date: 2020-07-01
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: Embargado
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
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

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