Abstract
Abstract A hidden Markov model is a statistical tool that is frequently used for modeling biological sequences. In applying it, a sequence is modeled as an output of a discrete stochastic process, which progresses through a series of states that are ‘hidden’ from the observer. At each state, the process outputs a symbol from a finite alphabet according to a given probability distribution.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
