Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  looks into classification of documents that have hierarchical labels and are not restricted to a single label. Previous work in hierarchical classification focuses on the hierarchical perceptron (Hieron) algorithm. Hieron only supports single label learning.  investigate applying several standard multi-label learning techniques to Hieron.  then propose an extension of the algorithm (MultiHieron) that significantly outperforms all previously mentioned techniques. MultiHieron has a new aggregate loss function for multiple labels. Improvement is shown on the Aviation Safety Reporting System (ASRS) flight anomaly database and OntoNews corpus using both at and hierarchical categorisation metrics.
['Clay Woolam', 'Latifur Khan']
I am writing a research paper on a idea Multi-label large margin hierarchical perceptron
[{"from": "human", "value": "I am writing a research paper on a idea Multi-label large margin hierarchical perceptron"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  looks into classification of documents that have hierarchical labels and are not restricted to a single label. Previous work in hierarchical classification focuses on the hierarchical perceptron (Hieron) algorithm. Hieron only supports single label learning.  investigate applying several standard multi-label learning techniques to Hieron.  then propose an extension of the algorithm (MultiHieron) that significantly outperforms all previously mentioned techniques. MultiHieron has a new aggregate loss function for multiple labels. Improvement is shown on the Aviation Safety Reporting System (ASRS) flight anomaly database and OntoNews corpus using both at and hierarchical categorisation metrics."}]