Hidden Markov models (HMMs) are popular models to identify a finite number of latent states from sequential data. However, fitting them to large data sets can be computationally demanding because m...

中文翻译：

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用于隐马尔可夫模型有效推理的方差减少随机优化


隐马尔可夫模型 (HMM) 是一种流行的模型，用于从序列数据中识别有限数量的潜在状态。然而，将它们拟合到大型数据集可能需要大量计算，因为...