DEVICE AND COMPUTER-IMPLEMENTED METHOD FOR MACHINE LEARNING

A device and a computer-implemented method for machine learning. A set of measurements of input variables of a system are provided. An optimization problem is defined as a function of the set of measurements of input variables and as a function of a unit sphere in a Hilbert space including a reprodu...

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Bibliographische Detailangaben
Hauptverfasser:	Schiegg, Martin, Gerwinn, Sebastian
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING CHAMBERS PROVIDED WITH MANIPULATION DEVICES COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE ORDIFFERENT FUNCTION CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES COUNTING HAND TOOLS MANIPULATORS PERFORMING OPERATIONS PHYSICS PORTABLE POWER-DRIVEN TOOLS ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TOTHE CONTROL OF A PARTICULAR SUB-UNIT TRANSPORTING VEHICLES IN GENERAL
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Beschreibung
Zusammenfassung:	A device and a computer-implemented method for machine learning. A set of measurements of input variables of a system are provided. An optimization problem is defined as a function of the set of measurements of input variables and as a function of a unit sphere in a Hilbert space including a reproducing kernel. The unit sphere is defined as a function of the reproducing kernel. A solution the optimization problem is determined, which defines input data for a measurement at the system. A measurement of output data at the system is detected as a function of the input data. Pairs of training input data and training output data are determined as a function of the input data and the measurement of output data. A system model for the system is trained as a function of the pairs. The reproducing kernel is determined as a function of the system model.