Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms

Milutinovic, Veljko
Mitic, Nenad
Kartelj, Aleksandar

Hardcover

General ComputersProgramming

ISBN10: 1799883507
ISBN13: 9781799883500
Publisher: Medical Information Science Re
Published: Mar 11 2022
Pages: 312
Weight: 1.67
Height: 0.75 Width: 7.00 Depth: 10.00
Language: English
Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.

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