Classifier system and method for generating classification models in distributed manner

The invention relates to a classifier system for classifying states of a system that is characterized by measurable system parameters, or for classifying objects, which classifier system has a plurality of decentralized, i.e. local, classifier units and a central classifier unit. The decentralized classifier units can for example be clients, and the central classifier unit can be a server in a client-server system. In such a system, the decentralized classifier units are formed (trained) in a decentralized manner, and subsequently centrally combined to form binary classifier units which, in turn, can form a multi-class classifier unit. 本发明涉及一种用于对由可测量的系统参数表征的系统的状态进行分类或者用于对对象进行分类的分类器系统，该分类器系统具有多个分散的、即本地的分类器单元和中央分类器单元。在此，分散分类器单元例如可以是客户端，而中央分类器单元可以是客户端-服务器系统中的服务器。在这种系统中，分散分类器单元分散地形成(训练)，并且随后中央地组合成二元分类器单元，这些二元分类器单元又可以形成多元分类器单元。