To access the full text documents, please follow this link: http://hdl.handle.net/2117/117926
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Title:
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Hyperparameter optimization of svm stochastic processes
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Author:
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Martínez Martínez, Pablo
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Other authors:
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Pujol, Oriol |
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Abstract:
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In this work we propose a SSGD based gamma optimization algorithm for Support Vector Machines model. This algorithm is combined with a nouvelle regularization technique called model dropout that make our algorithm competitive with the state of the art. |
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Subject(s):
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-Àrees temàtiques de la UPC::Informàtica
-Machine learning
-Màquines de vectors de suport
-Regularització
-Optimització
-Support Vector Machines
-SVM
-Regularization
-Optimization
-Data Augmentation
-Aprenentatge automàtic |
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Rights:
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Document type:
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Research/Master Thesis |
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Published by:
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Universitat Politécnica de Catalunya
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