Index Catalog // Arch : Northwestern University Institutional Repository

Description:: In 2009, the Health Information Technology for Economic and Clinical Health Act (HITECH) promoted national use of electronic health records (EHR) in the US by giving incentives to providers who adopt ‘meaningful use’ of EHRs. As of 2017, nearly 86% of office-based physicians had adopted EHRs. EHRs have rich information...
Keyword:: computational phenotyping, real world evidence data, machine learning, biomedical informatics, deep learning, and electronic health records
Subject:: Bioinformatics
Creator:: Deng, Yu
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 09/22/2022
Date Created:: 2022-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15969 and etdadmin_upload_886066

Description:: The task of classification has been increasingly attracting attention from researchers in recent years. The objective is to assign labels given attributes of samples. The classification task is practical in real-world applications and is widely explored in fields such as computer vision, natural language processing and information retrieval. The recent...
Keyword:: neural networks, classification, machine learning, and deep learning
Subject:: Artificial intelligence
Creator:: Xu, Yiming
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:15370 and etdadmin_upload_778963

Description:: Deep learning is a new area of machine learning research that allows deep neural networks composed of multiple processing layers to learn representations of data with multiple levels of abstraction. Deep learning has helped in achieving the objective of pushing machine learning closer to one of its original goals of...
Keyword:: deep neural networks, machine learning, deep learning, and artificial intelligence
Subject:: Computer engineering
Creator:: Jha, Dipendra Kumar
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 04/28/2020
Date Created:: 2019-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_711601 and http://dissertations.umi.com/northwestern:14960

Description:: The ability of a machine to synthesize textual output in a form of human language is a long-standing goal in a field of artificial intelligence and has wide-range of applications such as spell correction, speech recognition, machine translation, abstractive summarization, etc. The statistical approach to enable such ability mainly involves...
Keyword:: language generation, machine learning, natural language processing, deep learning, dictionary definitions, and language modeling
Subject:: Electrical and Computer Engineering
Creator:: Thanapon Noraset
Owner:: Scholarly Digital Publishing
Date Uploaded:: 04/01/2019
Date Modified:: 04/01/2019
Date Created:: 2018-01-01
Resource Type:: Dissertation

Description:: In this dissertation, we start with the dictionary learning (DL) based single-frame super-resolution (SR) problem, where low resolution (LR) input frames are super-resolved to high resolution (HR) output frames. We propose to extend the previous single-frame SR methods to multiple-frames, i.e., estimating single HR output frame by multiple LR input...
Keyword:: adaptive sampling, super resolution, inverse problem, image fusion, deep learning, and machine learning
Subject:: Electrical Engineering
Creator:: Qiqin Dai
Owner:: Scholarly Digital Publishing
Date Uploaded:: 10/26/2018
Date Modified:: 01/29/2019
Date Created:: 2017-01-01
Resource Type:: Dissertation

Description:: The goal of this thesis is to design practical algorithms for nonlinear optimization in the case when the objective function is stochastic or nonsmooth. The thesis is divided into three chapters. Chapter 1 describes an active-set method for the minimization of an objective function that is structurally nonsmooth, viz., it...
Keyword:: machine learning, optimization, deep learning, Newton, nonsmooth, and quasi-Newton
Subject:: Industrial Engineering and Management Sciences
Creator:: Nitish Shirish Keskar
Owner:: Scholarly Digital Publishing
Date Uploaded:: 04/16/2018
Date Modified:: 04/16/2018
Date Created:: 2017-01-01
Resource Type:: Dissertation

LIBRARIES | ARCH