AI RESEARCH
Exploring Prime Number Classification: Achieving High Recall Rate and Rapid Convergence with Sparse Encoding
arXiv CS.LG
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ArXi:2402.03363v3 Announce Type: replace-cross This paper presents a novel approach at the intersection of machine learning and number theory, focusing on the classification of prime and non-prime numbers. At the core of our research is the development of a highly sparse encoding method, integrated with conventional neural network architectures.