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1. COMPARISON OF SIMILARITY FUNCTIONS FOR VECTOR AGGREGATION IN NETWORK REPRESENTATION LEARNING MODELS

open_access
Open Access
Author:
Colom, Daniel A
Title:
COMPARISON OF SIMILARITY FUNCTIONS FOR VECTOR AGGREGATION IN NETWORK REPRESENTATION LEARNING MODELS
Area of Honors:
Computer Engineering
Keywords:
Machine Learning
Neural Network
Information Network
Representation Learning
Similarity Functions
File:
Download Daniel_Colom_Thesis.pdf
Thesis Supervisors:
Wang-Chien Lee, Thesis Supervisor
Dr. Jesse Louis Barlow, Thesis Honors Advisor

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