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Mask selective regularization for restricted Boltzmann machines

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Mask selective regularization for restricted Boltzmann machines

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Mansanet Sandin, J.; Albiol Colomer, A.; Paredes Palacios, R.; Albiol Colomer, AJ. (2015). Mask selective regularization for restricted Boltzmann machines. Neurocomputing. 165:375-383. doi:10.1016/j.neucom.2015.03.026

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/63391

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Title: Mask selective regularization for restricted Boltzmann machines
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
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Abstract:
In the present work, we propose to deal with two important issues regarding to the RBM's learning capabilities. First, the topology of the input space, and second, the sparseness of the RBM obtained. One problem of RBMs ...[+]
Subjects: Restricted Boltzmann Machines , Deep belief networks , Regularization
Copyrigths: Reserva de todos los derechos
Source:
Neurocomputing. (issn: 0925-2312 )
DOI: 10.1016/j.neucom.2015.03.026
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.neucom.2015.03.026
Thanks:
This work was financially supported by the Ministerio de Ciencia e Innovacion (Spain), Plan Nacional de I+D+i, Grant TEC2009-09146, and the FPI Grant BES-2010-032945.
Type: Artículo

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