Abstract: For controlling a target system, e.g. a gas or wind turbine or another technical system, a pool of control policies is provided. The pool of control policies comprising a plurality of control policies and weights for weighting each of the plurality of control policies are received. The plurality of control policies is weighted by the weights to provide a weighted aggregated control policy. With that, the target system is controlled using the weighted aggregated control policy, and performance data relating to a performance of the controlled target system are received. Furthermore, the weights are adjusted on the basis of the received performance data to improve the performance of the controlled target system. With that, the plurality of control policies is reweighted by the adjusted weights to adjust the weighted aggregated control policy.

Abstract: For controlling a target system, such as a gas or wind turbine or another technical system, a pool of control policies is used. The pool of control policies including a plurality of control policies and weights for weighting each control policy of the plurality of control policies are received. The plurality of control policies is weighted by the weights to provide a weighted aggregated control policy. The target system is controlled using the weighted aggregated control policy, and performance data relating to a performance of the controlled target system is received. The weights are adjusted based on the received performance data to improve the performance of the controlled target system. The plurality of control policies is reweighted by the adjusted weights to adjust the weighted aggregated control policy.

Abstract: A classification and, in particular, a time stability thereof are intended to be improved. To this end, a method automatically sets a piece of equipment, in which a classifying is performed with an aid of movable clusters and fixed clusters. This allows the classification to be trained, but also allows a certain basic property of the system to be ensured. This is advantageous in particular for hearing aids and transformers in smart grids.

Abstract: A method operates a hearing apparatus in which an operating parameter of the hearing apparatus is determined and smoothed by a filter. The smoothing includes, for each input value, to classify the input value in accordance with its association with a plurality of predetermined classes and increase a counter assigned to the respective class which is associated with the input value. The counter with the greatest counter value is determined and the operating parameter value assigned to the counter with the greatest counter value is output as an output variable of the filter.

Abstract: A classification and, in particular, a time stability thereof are intended to be improved. To this end, a method automatically sets a piece of equipment, in which a classifying is performed with an aid of movable clusters and fixed clusters. This allows the classification to be trained, but also allows a certain basic property of the system to be ensured. This is advantageous in particular for hearing aids and transformers in smart grids.

Abstract: A database contains variants of protocols for the operation of magnetic resonance tomographs as well as different types of magnetic resonance tomographs. Each variant contains parameter values and is associated with one of the types. In a training phase, relationships are determined between the parameters among one another and/or between the parameters and the associated types and are stored as patterns in a knowledge base. A protocol plan for the operation of a new magnetic resonance tomograph is created later in an application phase using the determined pattern. The method offers the advantage that the efficiency and quality of the automatic conversion of the protocols is improved. The improved quality of the protocol plan reduces operating time and costs for a manual post-processing of the protocols. Furthermore, a higher consistency of the protocols among one another is achieved both between product families and between individual configurations.

Abstract: A method operates a hearing apparatus in which an operating parameter of the hearing apparatus is determined and smoothed by a filter. The smoothing includes, for each input value, to classify the input value in accordance with its association with a plurality of predetermined classes and increase a counter assigned to the respective class which is associated with the input value. The counter with the greatest counter value is determined and the operating parameter value assigned to the counter with the greatest counter value is output as an output variable of the filter.

Abstract: In a method for computer-assisted configuration of a medical imaging device for examination of a patient, training data are provided that include multiple variants of protocols in the form of protocol parameter sets for operation of the imaging device. The training data also include patient-specific parameter sets with one or more features of a patient, the patient-specific parameter sets being associated with the respective protocol parameter sets. Based on the training data, relations between the protocol parameter sets and the patient-specific parameter sets are learned with a data-driven leaning method and stored as patterns in a knowledge base. In an application phase, a protocol parameter set suitable for the examination of the patient can be determined with the use of the patterns in the knowledge base, depending on features of a patient that are provided to the imaging device.

Abstract: A database contains variants of protocols for the operation of magnetic resonance tomographs as well as different types of magnetic resonance tomographs. Each variant contains parameter values and is associated with one of the types. In a training phase, relationships are determined between the parameters among one another and/or between the parameters and the associated types and are stored as patterns in a knowledge base. A protocol plan for the operation of a new magnetic resonance tomograph is created later in an application phase using the determined pattern. The method offers the advantage that the efficiency and quality of the automatic conversion of the protocols is improved. The improved quality of the protocol plan reduces operating time and costs for a manual post-processing of the protocols. Furthermore, a higher consistency of the protocols among one another is achieved both between product families and between individual configurations.

Abstract: After initial clusters having only one component are formed, a conditional probability P(Ci|C?k) is determined for the cluster Ci being included in an order on condition that cluster C?k is included in the order. If P(Ci|C?k) is greater than a first threshold value S1, a new cluster Cn having all the components of clusters Ci, C?k is formed and the operations are repeated until no new clusters are formed.

Abstract: After initial clusters having only one component are formed, a conditional probability P(Ci|C?k) is determined for the cluster Ci being included in an order on condition that cluster C?k is included in the order. If P(Ci|C?k) is greater than a first threshold value S1, a new cluster Cn having all the components of clusters Ci, C?k is formed and the operations are repeated until no new clusters are formed.