Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a classifier based on the positive Boolean function (PBF) is proposed for the supervised pattern classification. A PBF is exactly represented as one sum-of-product form without any negative components. The PBF possesses the ll-known threshold decomposition and stacking properties. The classification errors can be calculated from the summation of the absolute errors incurred at each level. The optimal PBF are found and designed to be a classifier by minimizing the classification error rate along the training samples. The experimental results re given to show the validity of our proposed approaches.
['Chin-Chuan Han']
I am writing a research paper on a idea A supervised classification scheme using positive Boolean function
[{"from": "human", "value": "I am writing a research paper on a idea A supervised classification scheme using positive Boolean function"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a classifier based on the positive Boolean function (PBF) is proposed for the supervised pattern classification. A PBF is exactly represented as one sum-of-product form without any negative components. The PBF possesses the ll-known threshold decomposition and stacking properties. The classification errors can be calculated from the summation of the absolute errors incurred at each level. The optimal PBF are found and designed to be a classifier by minimizing the classification error rate along the training samples. The experimental results re given to show the validity of our proposed approaches."}]