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001			1868-808X
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005			20260610082448.0
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022			_a1868-808X
024	7		_a10.1007/13042.1868-808X _2doi
210	1	0	_aInt. J. Mach. Learn. & Cyber.
245	1	0	_aInternational Journal of Machine Learning and Cybernetics _h[electronic resource] / _cedited by Xi-Zhao Wang, Daniel S. Yeung.
264		1	_aBerlin/Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer.
300			_bonline resource.
520			_aCybernetics 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 .
650		0	_aComputational intelligence.
650		0	_aArtificial intelligence.
650		0	_aControl engineering.
650		0	_aRobotics.
650		0	_aAutomation.
650		0	_aSystem theory.
650		0	_aBioinformatics.
650		0	_aPattern recognition systems.
650	1	4	_aComputational Intelligence.
650	2	4	_aArtificial Intelligence.
650	2	4	_aControl, Robotics, Automation.
650	2	4	_aComplex Systems.
650	2	4	_aComputational and Systems Biology.
650	2	4	_aAutomated Pattern Recognition.
700	1		_aWang, Xi-Zhao. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aYeung, Daniel S. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
776	0	8	_iPrinted version: _x1868-8071
856	4	0	_uhttps://doi.org/10.1007/13042.1868-808X _zHybrid
999			_c1360 _d1360