Crouching Time Series, Hidden Markov Model: Applications of HMMs in the Real World

Be1c8a24b76f8b2b23f53eb22d401810?s=47 Imperial ACM
February 28, 2014

Crouching Time Series, Hidden Markov Model: Applications of HMMs in the Real World

In this presentation, I will present an introduction and brief discussion into the applications and variations of the Hidden Markov Model (HMM), combining unsupervised learning techniques with performance analysis measures. Their parsimonious nature and efficient training on discrete and continuous data traces have made them popular as storage workloads, Markov Arrival Processes (MAPs), social network behaviour classifiers and financial predictive models (to name but a few). We explain relevant findings of the AESOP group (aesop.doc.ic.ac.uk/) over the last few years and mention possible future research.

Be1c8a24b76f8b2b23f53eb22d401810?s=128

Imperial ACM

February 28, 2014
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