Experiments with hidden Markov models

This is a report on the results of our experiments with hidden Markov models, focusing on Markov chains with generative transitions and the Baum-Welch algorithm. We explore generating the hypothesis model in various ways. We use the hypothesis model as the original model. And we investigate the feasibility of implementing a sequential version of the Baum-Welch algorithm. This research was motivated by the ongoing research on Active Learning of Markov Decision Processes using Baum-Welch algorithm, at the Department of Computer Science, Reykjavík University.

Authors dc:creator

• Arnþór Logi Arnarson 1976-
• Eva Ósk Gunnarsdóttir 1999-

Contributors dc:contributor

• Háskólinn í Reykjavík

• Tölvunarstærðfræði
• Reiknilíkön
• Reiknirit
• Discrete mathematics and computer science
• Mathematical models
• Computer algorithms

Language dc:language.iso

en

Handle dc:identifier.uri

http://hdl.handle.net/1946/40438

OAI identifier oai:identifier

oai:skemman.is:1946/40438