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AI Uncertainty Based on Rademacher Complexity and Shannon Entropy
A 1/2 criteria on Shannon entropy is derived in this paper so that error rate can approach zero or is zero for AI pattern classification problems.
A Theory on AI Uncertainty Based on Rademacher Complexity and Shannon Entropy
A close to 0. 5 criteria on Shannon entropy is derived in this paper for the theoretical investigation of AI accuracy and correctness for classification problems.
Electrical Impedance Tomography based on Genetic Algorithm
In this paper, we applies GA algorithm into Electrical Impedance Tomography (EIT) application.
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