NDLI: Using Randomized Search Algorithms to Estimate HMM Learning Parameters

Content Provider	IEEE Xplore Digital Library
Author	Nath, R. Jain, R.
Copyright Year	2009
Description	Author affiliation: Department of Computer Science & Engineering UIET, CSJM University, Kanpur - 208 024, India (Nath, R.) \|\| Director Krishna Girls Engineering College Kanpur - 209 217 India (Jain, R.)
Abstract	Many complex problems like Speech Recognition, Bioinformatics, Climatology, Control and Communication are solved using Hidden Markov Models (HMM). Mostly, optimization problems are modeled as HMM learning problem in which HMM parameters are either maximized or minimized. In general, Baum-Welch Method (BW) is used to solve HMM learning problem giving only local maxima/minima in exponential time. In this paper, we have modeled HMM learning problem as a discrete optimization problem such that randomized search methods can be used to solve the learning problem. We have implemented Metropolis Algorithm (MA) and Simulated Annealing Algorithm (SAA) to solve the discretized HMM learning problem. A comparative study of randomized algorithms with the Baum Welch method to estimate the HMM learning parameters has been made. The Metropolis Algorithm is found to reach maxima in minimum number of transactions as compared to the Baum-Welch and Simulated Annealing Algorithms.
Starting Page	159
Ending Page	164
File Size	5271231
Page Count	6
File Format	PDF
ISBN	9781424429271
DOI	10.1109/IADCC.2009.4808999
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-06
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parameter estimation Simulated Annealing Algorithm Stochastic processes Educational institutions Probability distribution Computer science Metropolis Algorithm Hidden Markov models Simulated annealing Speech recognition Hidden Markov Models Baum-Welch State estimation Bioinformatics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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