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Machine Learning
book

Machine Learning

by Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Mohammed Bashier
August 2016
Intermediate to advanced content levelIntermediate to advanced
204 pages
3h 51m
English
CRC Press
Content preview from Machine Learning

Chapter 11

Hidden Markov Model

11.1 Introduction

A hidden Markov model (HMM) has invisible or unobservable states, but a visit to these hidden states results in the recording of observation that is a probabilistic function of the state. Given a sequence of observations, the problem is to infer the dynamical system that had produced the given sequence. This inference will result in a model for the underlying process. The three basic problems of HMMs are given below:

  1. Scoring problem: The target is to find the probability of an observed sequence with HMM already given.

  2. Alignment problem: Given a particular HMM, the target is to determine from an observation sequence the most likely sequence of underlying hidden states that might have generated ...

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Publisher Resources

ISBN: 9781315354415