The Framework provides the opportunity to train the classifiers, to improve recognition of the document classes. If a document wasn’t classified properly, it means it was unknown to the active classifiers. Classification is as efficient as the classifiers used are.Drag and drop your classifier trainers within this Scope activity and enable them using the Configure Classifiers wizard to ensure that the information validated by humans through the Classification Station or Validation Station is used by your classifiers to improve their own performance. This empowers the closing of the feedback loop to any classification algorithm capable of learning. You can achieve this using the Train Classifiers Scope activity. The Create Document Classification Action and the Wait for Document Classification Action and Resume activities enable this scenario. An alternative to the attended activity is available through the usage of Long-Running Workflows, which are designed to optimally enable human-robot collaboration. ![]()
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