Machine Learning (ML) algorithms have shown a high level of accuracy, and applications are widely used in many systems and platforms. However, developing efficient ML-based systems requires addressing three problems: energy-efficiency, robustness,...Lasīt vairāk
This book introduces the mathematical foundations of distributionally robust optimization (DRO) for decision-making problems with ambiguous uncertainties and applies them to tackle the critical challenge of energy storage sizing in renewable-integ...Lasīt vairāk
This book develops robust design and assessment of product and production from viewpoint of system theory, which is quantized with the introduction of brand new concept of preferable probability and its assessment. It aims to provide a new idea an...Lasīt vairāk
Adversarial Robustness for Machine Learning summarizes the recent progress on this topic and introduces popular algorithms on adversarial attack, defense and veri cation. Sections cover adversarial attack, veri cation and defense, mainly fo...Lasīt vairāk
This book presents examples of modern optimization algorithms. The focus is on a clear understanding of underlying studied problems, understanding described algorithms by a broad range of scientists and providing (computational) examples that a read...Lasīt vairāk
Tat-Jun Chin, David Suter, Gerard Medioni, Sven Dickinson
Sērija : Synthesis Lectures on Computer Vision
(Izdošanas datums: 27-Feb-2017, Paperback / softback, Izdevniecība: Morgan and Claypool Life Sciences, ISBN-13: 9781627052924)
Outlier-contaminated data is a fact of life in computer vision. For computer vision applications to perform reliably and accurately in practical settings, the processing of the input data must be conducted in a robust manner. In this context, the max...Lasīt vairāk
This book provides a broad coverage of the recent advances in robustness analysis in decision aiding, optimization, and analytics. The board perspective of the volume is a unique feature that offers a comprehensive illustration of the challenges that...Lasīt vairāk
This book introduces methods of robust optimization in multivariateadaptive regression splines (MARS) and Conic MARS in order to handleuncertainty and non-linearity. The proposed techniques are implemented andexplained in two-model regulatory syst...Lasīt vairāk
(Izdošanas datums: 26-Feb-2016, Hardback, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9781119212126)
Robust Optimization is a method to improve robustness using low-cost variations of a single, conceptual design. The benefits of Robust Optimization include faster product development cycles; faster launch cycles; fewer manufacturing problems; fewe...Lasīt vairāk
(Izdošanas datums: 14-May-2013, Hardback, Izdevniecība: ISTE Ltd and John Wiley & Sons Inc, ISBN-13: 9781848214651)
Loop-shaping approach consists in obtaining a specification in relation to the open loop of the control from specifications regarding various closed loop transfers, because it is easier to work on a single transfer (in addition to the open loop) rath...Lasīt vairāk
Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
Sērija : Princeton Series in Applied Mathematics
(Izdošanas datums: 30-Aug-2009, Hardback, Izdevniecība: Princeton University Press, ISBN-13: 9780691143682)
Robust optimization is a fairly new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology....Lasīt vairāk
Frank J. Fabozzi, Petter N. Kolm, Dessislava A. Pachamanova, Sergio M. Focardi
(Izdošanas datums: 19-Jun-2007, Hardback, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9780471921226)
Praise for Robust Portfolio Optimization and Management In the half century since Harry Markowitz introduced his elegant theory for selecting portfolios, investors and scholars have extended and refined its application to a wide range of...Lasīt vairāk
