Hidden semi-Markov models (HSMMs) are among the most important models in the area of artificial intelligence / machine learning. Since the first HSMM was introduced in 1980 for machine recognition of speech, three other HSMMs have been proposed, with various definitions of duration and observation distributions. Those models have different expressions, algorithms, computational complexities, and applicable areas, without explicitly interchangeable forms.
Rat race like never before. A 'rat race' is an infinite, self-defeating, either senseless chase. It summons up the representation of the useless attempts of a lab rat attempting to flee when operating about a labyrinth either in a wheel. There has never been a Rat race Guide like this. It contains 46 answers, much more than you can imagine;…
Hidden Semi-Markov Models: Theory, Algorithms and Applications provides a unified and foundational approach to HSMMs, including various HSMMs (such as the explicit duration, variable transition, and residential time of HSMMs), inference and estimation algorithms, implementation methods and application instances. Learn new developments and state-of-the-art emerging topics as they relate to HSMMs, presented with examples drawn from medicine, engineering and computer science.
Discusses the latest developments and emerging topics in the field of HSMMs
Includes a description of applications in various areas including, Human Activity Recognition, Handwriting Recognition, Network Traffic Characterization and Anomaly Detection, and Functional MRI Brain Mapping.
Shows how to master the basic techniques needed for using HSMMs and how to apply them.
How to download book
Buy this book
You can buy this book now only for $35.99. This is the lowest price for this book.
Download book free
If you want to download this book for free, please register, approve your account and get one book for free.
After that you may download book «Hidden Semi-Markov Models»: