a Hidden Markov Model 青云英语翻译 请在下面的文本框内输入文字,然后点击开始翻译按钮进行翻译,如果您看不到结果,请重新翻译! 翻译结果1翻译结果2翻译结果3翻译结果4翻译结果5 翻译结果1复制译文编辑译文朗读译文返回顶部 隐马尔可夫模型 翻译结果2复制译文编辑译文朗读译文返回顶部...
1、引言 隐马尔科夫模型(Hidden Markov Model,以下简称HMM)是一种经典的机器学习模型,是可用于标注问题的统计学模型,描述由隐藏的马尔科夫链随机生成观测序列的过程,属于生成模型,它在语言识别,自然语言处理,模式识别等领域得到广泛的应用。随着深度学习的兴起,如RNN类神经网络可以一定程度的解决HMM模型所解决的问题,HMM...
We already have the mathematical representation of hidden Markov model. In order to use it in real-world application, there are three basic problems to solve about HMM: the evaluation problem, the hidden-state discover problem, and the parameter optimization (training) problem. In this section, ...
A Hidden Markov Model (HMM) is a statistical model representing a system where the state depends on the previous state based on observed data. HMMs are used to model probability distributions over sequences of observations. They have many applications, including speech recognition, stock market pred...
In this study, we propose a generative framework, based on a hidden Markov model (HMM), for using eye-tracking data to analyze behavior in the context of multiple moving objects of interest. We apply this framework to analyze data from a recent visual object tracking task paradigm, TrackIt,...
M. Djafari, A hidden Markov model for Bayesian data fusion of multi- variate signals, in In Fifth Int. Triennal Calcutta Symposium on Probability and Statistics, december 2003O. Feron and A. M. Djafari, "A hidden Markov model for Bayesian data fusion of multivariate signals," in 5th Int...
文献阅读 | Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes 在这篇2001年的文章中,作者采用了HMM模型,对跨膜蛋白(transmembrane protein)的拓扑(topology)结构进行了预测。 目录 背景 TMHMM 错误的预测...
We have developed a tool based on a Hidden Markov Model (HMM) that identifies binding location of transcription factors with preference for self-overlapping DNA motifs by combining the effects of their alternative binding modes. Interpreting HMM parameters as biophysical quantities, this method uses th...
隐马尔科夫(HMM)模型 隐马尔科夫(Hidden Markov model)模型是一类基于概率统计的模型,是一种结构最简单的动态贝叶斯网,是一种重要的有向图模型。自上世纪80年代发展起来,在时序数据建模,例如:语音识别、文字识别、自然语言处理等领域广泛应用。隐马尔科夫模型涉及的变量、参数众多,应用也很广泛,以至于很多人不明白模型...
The hidden Markov model with duration (HMMD) is critically important when the distributions on state intervals deviate significantly from the geometric distribution, such as for multimodal distributions and heavy-tailed distributions. Heavy-tailed distributions, in particular, are widespread in describing ...