Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Overlapping classes and outliers can significantly decrease a classifier performance.  address here the problem of giving a classifier the ability to reject some patterns either for ambiguity or for distance in order to improve its performance. Given a set of typicality degrees for a pattern to be classified,  use an operator based on triangular norms and a discrete Sugeno integral to quantify their blockwise similarities.  propose a new class-selective rejection scheme which uses this operator outputs.  present the resulting algorithm which allows to assign a pattern to zero, one or several classes, and show its efficiency on real data sets.
['H. Le Capitaine', 'Carl Frelicot']
I am writing a research paper on a idea A class-selective rejection scheme based on blockwise similarity of typicality degrees
[{"from": "human", "value": "I am writing a research paper on a idea A class-selective rejection scheme based on blockwise similarity of typicality degrees"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Overlapping classes and outliers can significantly decrease a classifier performance.  address here the problem of giving a classifier the ability to reject some patterns either for ambiguity or for distance in order to improve its performance. Given a set of typicality degrees for a pattern to be classified,  use an operator based on triangular norms and a discrete Sugeno integral to quantify their blockwise similarities.  propose a new class-selective rejection scheme which uses this operator outputs.  present the resulting algorithm which allows to assign a pattern to zero, one or several classes, and show its efficiency on real data sets."}]