Algebraic Approach to Data Processing Algebraic Approach to Data Processing

Algebraic Approach to Data Processing

Techniques and Applications

    • 94,99 €
    • 94,99 €

Description de l’éditeur

The book explores a new general approach to selecting—and designing—data processing techniques. Symmetry and invariance ideas behind this algebraic approach have been successful in physics, where many new theories are formulated in symmetry terms.

The book explains this approach and expands it to new application areas ranging from engineering, medicine, education to social sciences. In many cases, this approach leads to optimal techniques and optimal solutions.

That the same data processing techniques help us better analyze wooden structures, lung dysfunctions, and deep learning algorithms is a good indication that these techniques can be used in many other applications as well.

The book is recommended to researchers and practitioners who need to select a data processing technique—or who want to design a new technique when the existing techniques do not work. It is also recommended to students who want to learn the state-of-the-art data processing.

GENRE
Informatique et Internet
SORTIE
2022
15 octobre
LANGUE
EN
Anglais
LONGUEUR
263
Pages
ÉDITIONS
Springer International Publishing
DÉTAILS DU FOURNISSEUR
Springer Science & Business Media LLC
TAILLE
6,1
Mo
Learning Theory Learning Theory
2007
Combining Soft Computing and Statistical Methods in Data Analysis Combining Soft Computing and Statistical Methods in Data Analysis
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Algorithmic Learning Theory Algorithmic Learning Theory
2008
Symbolic and Quantitative Approaches to Reasoning with Uncertainty Symbolic and Quantitative Approaches to Reasoning with Uncertainty
2011
Information Processing and Management of Uncertainty in Knowledge-Based Systems Information Processing and Management of Uncertainty in Knowledge-Based Systems
2010
Scalable Uncertainty Management Scalable Uncertainty Management
2022