To access the full text documents, please follow this link: http://hdl.handle.net/2099.1/25998
Title:
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Machine learning approximation techniques using dual trees
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Author:
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Ergashbaev, Denis
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Other authors:
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Pujol Vila, Oriol |
Abstract:
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This master thesis explores a dual-tree framework as applied to a particular class of machine learning problems that are collectively referred to as generalized n-body problems. It builds a new algorithm on top of it and improves existing Boosted OGE classifier. |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial -Machine learning -Artificial intelligence -kd-tree -classification -characterizing boundary points -ensemble of classifiers -Gabriel neighboring rule -Aprenentatge automàtic -Intel·ligència artificial |
Rights:
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Document type:
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Research/Master Thesis |
Published by:
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Universitat Politècnica de Catalunya
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