magazine International Journal of Machine Learning and Cybernetics

Provider: Springer-Verlag

Machine Learning for modeling interactions between systems

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Cybernetics is concerned with describing complex interactions and interrelationships between systems which are omnipresent in our daily life. Machine Learning discovers fundamental functional relationships between variables and ensembles of variables in systems. The merging of the disciplines of Machine Learning and Cybernetics is aimed at the discovery of various forms of interaction between systems through diverse mechanisms of learning from data. - The International Journal of Machine Learning and Cybernetics (IJMLC) focuses on the key research problems emerging at the junction of machine learning and cybernetics and serves as a broad forum for rapid dissemination of the latest advancements in the area. The emphasis of IJMLC is on the hybrid development of machine learning and cybernetics schemes inspired by different contributing disciplines such as engineering, mathematics, cognitive sciences, and applications. New ideas, design alternatives, implementations and case studies pert

Cybernetics is concerned with describing complex interactions and interrelationships between systems which are omnipresent in our daily life. Machine Learning discovers fundamental functional relationships between variables and ensembles of variables in systems. The merging of the disciplines of …

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Profile of International Journal of Machine Learning and Cybernetics

Delivery time subscription 8 to 12 weeks
Published 2-monthly , 6 issues per year
Language English
Access read the printed
Subscriptionservice Springer Verlag GmbH
Publisher (provider) Springer-Verlag
Category Science magazines

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