Northwestern University

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Learning from Limited and Imperfect Data in Cyber-Physical System

Description:

Machine learning is seeping into every fabric in various practical domains such as autonomous driving, wearable computing, and smart buildings. However, in the actual development and integration, especially when the learning-based components are frequently included as components of large complex systems where the physical instances can be included as interactable...

Keyword:

Transfer Learning, Reinforcement Learning, Computer Vision, Building HVAC Control, Image Classification, and Machine Learning

Subject:

Computer engineering and Computer science

Creator:

Xu, Shichao

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

05/31/2023

Date Created:

2023-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_983783 and http://dissertations.umi.com/northwestern:16519