Robert Boschgmbh

Michael Dorna

Werner Uhler

Peter Knoll

Jan Zibuschka

Uwe Beutnagel-Buchner

Jan Egelhaaf

Lars Placke

Sebastian Enders

Arnd Engeln

Anna Constanze Haetty

Hans-Peter Grabsch

Markus Rossmeier

A computer-implemented method for training an artificial neural network using training data, which include features and identifiers, the features characterizing term candidates from a corpus, the corpus including a text from a domain, the identifier characterizing a degree of association to at least three classes for term candidates that differ from one another, different classes indicating different degrees of association of the term candidates to the domain, the training data including an assignment of features to identifiers. An artificial neural network, method for classifying term candidates, and computer-implemented method for generating training data, are also described.

Computer-implemented method and device for text analysis

A method in which user information is transmitted from at least one data source to a processing unit of a learning device. The user information is used, by the processing unit via a machine learner, to generate at least one user model. The at least one user model is adapted via an adaptation of parameters used by the at least one machine learner to generating the at least one user model. The parameters, used by the at least one machine learner for generating the at least one user model, are adapted as a function of at least one predefined rule. The user model generated on the basis of the adapted parameters is used to personalize at least one terminal.

Method for controlling user information in an automatically learning device

A driver information device includes an output unit for outputting items of driver information, a pause having a predetermined length being inserted between the outputting of a first and a second item of information.

Driver information device

Growing community of inventors

Bietigheim-Bissingen, Germany

Michael Dorna