Structured representation learning from complex data
Contribuinte(s) |
Phung, Dinh Venkatesh, Svetha Tran, Truyen |
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Data(s) |
01/04/2015
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Resumo |
This thesis advances several theoretical and practical aspects of the recently introduced restricted Boltzmann machine - a powerful probabilistic and generative framework for modelling data and learning representations. The contributions of this study represent a systematic and common theme in learning structured representations from complex data. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Deakin Univeristy, Faculty of Science Engineering and Built Environment, School of Information Technology |
Relação |
http://dro.deakin.edu.au/eserv/DU:30079713/nguyen-agreement-2015.pdf http://dro.deakin.edu.au/eserv/DU:30079713/nguyen-structuredrepresentation-2015A.pdf |
Direitos |
The Author. All Rights Reserved |
Palavras-Chave | #statistical machine learning #annotated labels #restricted Boltzmann machine #structured representations |
Tipo |
Thesis |