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Ammar S. Salman,Wenliang Duan learning called the biased coin flip process—contrived for use in the context of Bayesian topic modeling. We prove mathematically the equivalence of the biased coin flip process to the Dirichlet process with an additional parameter representing the number of trials. A major benefit of the biased哀悼 发表于 2025-3-26 16:20:12
Mostafa Ahmadi,Mehdi Ramezankhani,Mohsen Kakavand,Mohammad Tahir. Feature vectors obtained using some well-known texture operators were used to feed an SVM classifier. Experiments showed that increasing the number of synthetic samples in the training set can be beneficial for the writer identification task, particularly when there are very few manuscript sampleshedonic 发表于 2025-3-26 17:45:10
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