Easy entry natural language processing series 12 hidden Markov models

Preface

This paper mainly introduces hidden Markov models , contain HMM Basics 、HMM Parameters and reasoning 、 Parameter estimation and so on .

One 、HMM Basics

1. time series data

Common non sequential and sequential data are as follows ：

Nonsequential data

For example, pictures 、 Human characteristics, etc .

In terms of time , The dimensions of these data are fixed , It will not change with time .

Sequence number