Practical guide to machine learning for managing Laser Damage

Laura Mascio-Kegelmeyer

doi:10.1117/12.2618345

19 October 2021 Practical guide to machine learning for managing Laser Damage

Laura Mascio-Kegelmeyer

Proceedings Volume 11910, Laser-Induced Damage in Optical Materials 2021; 119100C (2021) https://doi.org/10.1117/12.2618345
Event: SPIE Laser Damage, 2021, Online Only

Abstract

Overview of machine learning methods and the practical steps needed for implementation. We will use examples from NIF to demonstrate steps from data preparation to the pros and cons of different machine learning methods.

Conference Presentation

Citation Download Citation

Laura Mascio-Kegelmeyer "Practical guide to machine learning for managing Laser Damage", Proc. SPIE 11910, Laser-Induced Damage in Optical Materials 2021, 119100C (19 October 2021); https://doi.org/10.1117/12.2618345

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available