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Hidden Markov Models in Finance (Paperback)

Hidden Markov Models in R

by Joseph Rickert There are number of R packages devoted to sophisticated applications of Markov chains. These include msm and SemiMarkov for fitting multistate


Single Speaker Word Recognition With Hidden Markov Models | Garbage In Garbage Out

The Pfam database is a large collection of protein families, each represented by multiple sequence alignments and hidden Markov models (HMMs)

The Application of Hidden Markov Models in Speech Recognition (Paperback)

Hidden Markov Models for Time Series : An Introduction Using R (Revised) (Hardcover) (Walter Zucchini)

Hidden Markov Models for Time Series ( Monographs on Statistics and Applied Probability) (Revised)

Wikipedia: Hidden Markov Model; is a statistical Markov model in which the system being modeled is assumed to be a Markov process with unobserved (hidden) states. An HMM can be presented as the simplest dynamic Bayesian network.


SnowyOwl is a new gene prediction pipeline that uses RNA-Seq data to train and provide hints for the generation of Hidden Markov Model (HMM)...

Video-based signer-independent Arabic sign language recognition using hidden Markov models — ScienceDirect

Hidden Markov Model: Kurzweil, How to Create a Mind "A Strategy for Creating a Mind Kurzweil summarizes how he would put together a digital mind. He would start with a pattern recognizer and arrange for a hierarchy to self-organize using a hierarchical hidden Markov model. All parameters of the system would be optimized using genetic algorithms. "