Hidden Markov Models (HMMs) and Security Applications

A Brief Note on the Hidden Markov Models (HMMs)

Hidden Markov Models (HMMs) are powerful statistical models for modeling sequential or time-series data, and have been successfully used in many tasks such as speech recognition, protein/DNA sequence analysis, robot control, and information extraction from text data. There are many good references on HMMs. For example, [1] and [2] are two classic references. You may also find some online tutori...

Applications of Hidden Markov Models ( HMMs ) to Computational Biology problems - A Report Group 4

Hidden Markov Models: Fundamentals and Applications Part 2: Discrete and Continuous Hidden Markov Models

The objective of this tutorial is to introduce basic concepts of a Hidden Markov Model (HMM). The tutorial is intended for the practicing engineer, biologist, linguist or programmer who would like to learn more about the above mentioned fascinating mathematical models and include them into one’s repertoire. This part of the tutorial is devoted to the basic concepts of a Hidden Markov Model. You...

On Markov and Hidden Markov Models with Applications to Trajectories

Computational Biology Lecture 9: CpG islands, Markov Chains, Hidden Markov Models HMMs

Given a DNA or an amino acid sequence, biologists would like to know what the sequence represents. For instance, is a particular DNA sequence a gene or not? Another example would be to identify which family of proteins a given protein (amino acid sequence) belongs to. In both cases above, we have a sequence of symbols from some alphabet and we are required to say something about the structure o...