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Full-Span Log-Linear Model and Fast Learning Algorithm

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DataCite Commons2026-01-07 更新2025-04-16 收录
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https://service.tib.eu/ldmservice/dataset/7f7be750-5dd8-4ba4-848a-d9a3d243e7c4
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The full-span log-linear model can represent arbitrary positive distributions of X. The FSLL model has |X| − 1 parameters and can represent arbitrary positive distributions of X. The FSLL model is a “highest-order” Boltzmann machine; nevertheless, we can compute the dual parameter of the model distribution, which plays important roles in exponential families, in O(|X| log |X|) time.
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TIB
创建时间:
2025-01-02
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