文件名称：HMM算法，隐马尔可夫算法
文件大小：624KB
文件格式：PDF
更新时间：2014-12-09 08:19:40
HMM
This chapter is roughly divided into two sections: Hidden Markov Models followed by Maximum Entropy Markov Models. Our discussion of the Hidden Markov Model extends what we said about HMM part-of-speech tagging. We begin in the next section by introducing the Markov Chain, then give a detailed overview of HMMs and the forward and Viterbi algorithms with more formalization, and finally introduce the important EM algorithm for unsupervised (or semi-supervised) learning of a Hidden Markov model.