Algebraic Approach to Data Processing Algebraic Approach to Data Processing

Algebraic Approach to Data Processing

Techniques and Applications

    • ‏89٫99 US$
    • ‏89٫99 US$

وصف الناشر

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.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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١٥ أكتوبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Learning Theory Learning Theory
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Machine Learning Machine Learning
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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
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Symbolic and Quantitative Approaches to Reasoning with Uncertainty Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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Information Processing and Management of Uncertainty in Knowledge-Based Systems Information Processing and Management of Uncertainty in Knowledge-Based Systems
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