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Description:: Recently, machine learning and deep learning, which have made many theoretical and empir- ical breakthroughs and is widely applied in various fields, attract a great number of researchers and practitioners. They have become one of the most popular research directions and plays a sig- nificant role in many fields, such...
Keyword:: Algorithm Design, Deep Learning, Optimization, and Machine Learning
Subject:: Applied mathematics and Operations research
Creator:: Fang, Biyi
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/02/2022
Date Created:: 2021-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15817 and etdadmin_upload_855647

Description:: Optimization via simulation (OvS) is the practice of minimizing or maximizing the expected value of the output of a stochastic simulation model with respect to controllable decision variables. Stochastic simulation is a standard tool within operations research and is often required to model complex systems subject to uncertainty where it...
Keyword:: Optimization via Simulation, Optimization, and Stochastic Simulation
Subject:: Industrial engineering and Operations research
Creator:: Semelhago, Mark
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/01/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15377 and etdadmin_upload_779793

Description:: While optimization has received much attention in the machine learning community, most of them consider unconstrained supervised learning models such as neural networks and support vector machine. In this dissertation, we introduce a new class of optimization problems called scale invariant problems that include interesting unsupervised learning models such as...
Keyword:: Power Iteration, PCA, Optimization, Machine Learning, Scale Invariance, and KL-NMF
Subject:: Applied mathematics and Operations research
Creator:: Kim, Cheolmin
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/01/2021
Date Created:: 2020-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15139 and etdadmin_upload_744178

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