Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Dempster-Shafer theory provides a convenient framework for decision making based on very limited or ak information. Such situations typically arise in pattern recognition problems when patterns have to be classified based on a small number of training vectors, or when the training set does not contain samples from all classes.  examines different strategies that can be applied in this context to reach a decision (e.g. assignment to a class or rejection), provided the possible consequences of each action can be quantified. The corresponding decision rules are analysed under different assumptions concerning the completeness of the training set. These approaches are then demonstrated using real data.
['Thierry Denoeux']
I am writing a research paper on a idea Analysis of evidence-theoretic decision rules for pattern classification
[{"from": "human", "value": "I am writing a research paper on a idea Analysis of evidence-theoretic decision rules for pattern classification"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The Dempster-Shafer theory provides a convenient framework for decision making based on very limited or ak information. Such situations typically arise in pattern recognition problems when patterns have to be classified based on a small number of training vectors, or when the training set does not contain samples from all classes.  examines different strategies that can be applied in this context to reach a decision (e.g. assignment to a class or rejection), provided the possible consequences of each action can be quantified. The corresponding decision rules are analysed under different assumptions concerning the completeness of the training set. These approaches are then demonstrated using real data."}]