Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  consider composite loss functions for multiclass prediction comprising a proper (i.e., Fisher-consistent) loss over probability distributions and an inverse link function.  establish conditions for their (strong) convexity and explore the implications.  also show how the separation of concerns afforded by using this composite representation allows for the design of families of losses with the same Bayes risk.
['Peng Sun', 'Mark D. Reid', 'Robert C. Williamson']
I am writing a research paper on a idea The Convexity and Design of Composite Multiclass Losses
[{"from": "human", "value": "I am writing a research paper on a idea The Convexity and Design of Composite Multiclass Losses"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  consider composite loss functions for multiclass prediction comprising a proper (i.e., Fisher-consistent) loss over probability distributions and an inverse link function.  establish conditions for their (strong) convexity and explore the implications.  also show how the separation of concerns afforded by using this composite representation allows for the design of families of losses with the same Bayes risk."}]