Ffnsl: feed-forward neural-symbolic learner

HIGHLIGHTS

• who: Daniel Cunnington from the IBM Research Europe, Winchester, UK have published the Article: FFNSL: Feed-Forward Neural-Symbolic Learner, in the Journal: (JOURNAL)
• what: To address this limitation the authors propose a learning framework called FeedForward (FFNSL) that integrates a logic-based machine learning system capable of learning from noisy examples with networks to learn interpretable knowledge from labelled unstructured data. The authors demonstrate the generality of on four classification problems where different pre-trained network models and logic-based machine learning systems are integrated to learn interpretable knowledge from sequences of images. The . . .
  

   

  

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