Set Machine Learning Under Resource Constraints

Set Machine Learning Under Resource Constraints Fundamentals, Discovery in Physics, Applications - De Gruyter STEM

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Publisher's Synopsis

This resource addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. Comprehensive overview of novel approaches to machine learning research that consider resource constraints and application of the described methods.

Book information

ISBN: 9783111135816
Publisher: De Gruyter
Imprint: De Gruyter
Pub date:
DEWEY: 006.31
DEWEY edition: 23
Language: English
Number of pages: 1346
Weight: 2259g
Height: 240mm
Width: 170mm