To access the full text documents, please follow this link: http://hdl.handle.net/2117/117926
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 |
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. |
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 |
Rights:
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Document type:
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Research/Master Thesis |
Published by:
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Universitat Politécnica de Catalunya
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