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International Journal of Machine Learning and Cybernetics

International Journal of Machine Learning and Cybernetics OnlineFirst articles

23.05.2018 | Original Article

Local receptive field based extreme learning machine with three channels for histopathological image classification

The classification of histopathological images is a challenging task in the study of real-life medicine owing to the diverse geometrical structures and different histology features. This paper proposes a framework called Local Receptive Field …

17.05.2018 | Original Article

On relational learning and discovery in social networks: a survey

The social networking scene has evolved tremendously over the years. It has grown in relational complexities that extend a vast presence onto popular social media platforms on the internet. With the advance of sentimental computing and social …

17.05.2018 | Original Article

Order based hierarchies on hesitant fuzzy approximation space

Granular computing which focuses on everyday and commonly used concepts and notions is a new field of multi-disciplinary study in dealing with theories, methodologies and techniques. As an important role in granular computing, hierarchy has …

16.05.2018 | Original Article

An ordered clustering algorithm based on fuzzy c-means and PROMETHEE

The ordered clustering problem in the context of multicriteria decision aid has been increasingly examined in management science and operational research during the past few years. However, the existing clustering algorithms may not provide an …

15.05.2018 | Original Article

A game theory-based network rumor spreading model: based on game experiments

This paper considers the relation between a rumor maker and many disseminators as a game and sets up Explosion-Trust (ET) Game Model. This model regards rumor explosion degree and trust degree of source node as influential factors of rumor making …

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Über diese Zeitschrift

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 pertaining to all the aspects of machine learning and cybernetics fall within the scope of the IJMLC.

Key research areas to be covered by the journal include:

  • Machine Learning for modeling interactions between systems
  • Pattern Recognition technology to support discovery of system-environment interaction
  • Control of system-environment interactions
  • Biochemical interaction in biological and biologically-inspired systems
  • Learning for improvement of communication schemes between systems
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Die Auswirkungen der Elektromobilität auf den Strommarkt und die CO2-Bilanz

In der aktuellen energiepolitischen Debatte werden dem Ausbau der Elektromobilität hohe Prioritäten eingeräumt, da mit der Umstellung von konventionellen Fahrzeugen auf elektrische Antriebe große CO2-Einsparpotenziale verbunden werden. So strebt die Bundesregierung bis 2030 6 Mio. zugelassene Elektroautos an. Lesen Sie hier, ob die mit dem Ausbau der Elektromobilität verbundenen Ziele tatsächlich erreicht werden können.
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