English(EN) On the Computational Complexity of Hidden Markov Model Identification

研究人员分析隐马尔可夫模型识别的计算复杂性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-08 04:00

研究人员分析了隐马尔可夫模型（HMM）识别的计算复杂性。他们开发了算法来确定给定的HMM是否可识别，这是从数据中恢复模型参数的关键步骤。研究表明，HMM的各种可识别性问题在PSPACE内是可判定的，而确定性变体是coETR-hard的。 AI

排序理由该条目是一篇学术论文，详细介绍了计算复杂性方面的理论研究。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Markel Zubia, Nils Jansen · 2026-10-08 04:00

隐马尔可夫模型识别的计算复杂度研究

arXiv:2610.09104v1 Announce Type: cross Abstract: Identification is the task of recovering the parameters of an unknown ground-truth model from sampled data. When parameters other than the ground truth induce the same output distribution, data alone does not provide enough inform…