Low-Rank Approximation
Language: en
Pages: 0

Low-Rank Approximation

Authors: Ivan Markovsky
Categories: Technology & Engineering
Type: BOOK - Published: 2019-01-10 - Publisher: Springer

GET EBOOK

This book is a comprehensive exposition of the theory, algorithms, and applications of structured low-rank approximation. Local optimization methods and effecti
Low Rank Approximation
Language: en
Pages: 260

Low Rank Approximation

Authors: Ivan Markovsky
Categories: Technology & Engineering
Type: BOOK - Published: 2011-11-19 - Publisher: Springer Science & Business Media

GET EBOOK

Data Approximation by Low-complexity Models details the theory, algorithms, and applications of structured low-rank approximation. Efficient local optimization
Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics
Language: en
Pages: 254

Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics

Authors: Felix Fritzen
Categories: Technology & Engineering
Type: BOOK - Published: 2019-09-18 - Publisher: MDPI

GET EBOOK

The use of machine learning in mechanics is booming. Algorithms inspired by developments in the field of artificial intelligence today cover increasingly varied
Applied Machine Learning
Language: en
Pages: 496

Applied Machine Learning

Authors: David Forsyth
Categories: Computers
Type: BOOK - Published: 2019-07-12 - Publisher: Springer

GET EBOOK

Machine learning methods are now an important tool for scientists, researchers, engineers and students in a wide range of areas. This book is written for people
Generalized Low Rank Models
Language: en
Pages:

Generalized Low Rank Models

Authors: Madeleine Udell
Categories:
Type: BOOK - Published: 2015 - Publisher:

GET EBOOK

Principal components analysis (PCA) is a well-known technique for approximating a tabular data set by a low rank matrix. This dissertation extends the idea of P