Hidden Semi-Markov Models: Theory, Algorithms and Applications
()
About this ebook
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.
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.
Shun-Zheng Yu
Shun-Zheng Yu is a professor at the School of Information Science and Technology at Sun Yat-Sen University, China.. He was a visiting scholar at Princeton University and IBM Thomas J. Watson Research Center from 1999 to 2002. He has authored two hundred journal papers that used artificial intelligence/machine learning methods for inference and estimation, among which fifty papers involved hidden semi-Markov models. Professor Yu is a well-recognized expert in the field of HSMMs and their applications. He has developed new estimation algorithms for HSMMs and applied them in various fields. The papers entitled "Hidden Semi-Markov Models (2010)" Published in the Elsevier Journal Artificial Intelligence , "Practical Implementation of an Efficient Forward-Backward Algorithm for an Explicit Duration Hidden Markov Model (2006) published in IEEE Signal Processing Letters", "A Hidden Semi-Markov Model with Missing Data and Multiple Observation Sequences for Mobility Tracking (2003)" Published in the Elsevier Journal Signal Processing and " An Efficient Forward-Backward Algorithm for an Explicit Duration Hidden Markov Model (2003) published in IEEE Signal Processing Letters " have been cited by hundreds of papers.
Related to Hidden Semi-Markov Models
Related ebooks
Markov Models: An Introduction to Markov Models Rating: 3 out of 5 stars3/5Stochastic Analysis of Mixed Fractional Gaussian Processes Rating: 0 out of 5 stars0 ratingsRiemannian Geometric Statistics in Medical Image Analysis Rating: 0 out of 5 stars0 ratingsAn Introduction to Probability and Stochastic Processes Rating: 5 out of 5 stars5/5Effective Dynamics of Stochastic Partial Differential Equations Rating: 0 out of 5 stars0 ratingsModern Anti-windup Synthesis: Control Augmentation for Actuator Saturation Rating: 5 out of 5 stars5/5Estimation and Control of Large-Scale Networked Systems Rating: 0 out of 5 stars0 ratingsAnalysis and Probability Rating: 0 out of 5 stars0 ratingsHamiltonian Monte Carlo Methods in Machine Learning Rating: 0 out of 5 stars0 ratingsMathematical Optimization Terminology: A Comprehensive Glossary of Terms Rating: 0 out of 5 stars0 ratingsMarkov Processes for Stochastic Modeling Rating: 5 out of 5 stars5/5Dynamic Programming and Stochastic Control Rating: 3 out of 5 stars3/5Genetic Algorithms in Molecular Modeling Rating: 4 out of 5 stars4/5Stochastic Control by Functional Analysis Methods Rating: 0 out of 5 stars0 ratingsRecent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications Rating: 0 out of 5 stars0 ratingsKalman Filters: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsQuadratic Form Theory and Differential Equations Rating: 0 out of 5 stars0 ratingsMachine Learning Proceedings 1991: Proceedings of the Eighth International Workshop (ML91) Rating: 0 out of 5 stars0 ratingsAn Introduction to Applied Optimal Control Rating: 0 out of 5 stars0 ratingsIntroduction to Bayesian Statistics Rating: 0 out of 5 stars0 ratingsDynamic Programming Rating: 4 out of 5 stars4/5Stochastic Processes Rating: 4 out of 5 stars4/5Foundations of Genetic Algorithms 1991 (FOGA 1) Rating: 0 out of 5 stars0 ratingsIntroduction to Stochastic Processes Rating: 4 out of 5 stars4/5Survival Analysis Rating: 0 out of 5 stars0 ratingsExtreme Events in Finance: A Handbook of Extreme Value Theory and its Applications Rating: 0 out of 5 stars0 ratingsMarkov Chains Rating: 0 out of 5 stars0 ratingsConstrained Optimization and Lagrange Multiplier Methods Rating: 0 out of 5 stars0 ratingsDynamic Programming: Sequential Scientific Management Rating: 0 out of 5 stars0 ratings
Mathematics For You
Mental Math Secrets - How To Be a Human Calculator Rating: 5 out of 5 stars5/5Precalculus: A Self-Teaching Guide Rating: 5 out of 5 stars5/5Algebra - The Very Basics Rating: 5 out of 5 stars5/5Geometry For Dummies Rating: 5 out of 5 stars5/5The Everything Guide to Algebra: A Step-by-Step Guide to the Basics of Algebra - in Plain English! Rating: 4 out of 5 stars4/5Basic Math & Pre-Algebra For Dummies Rating: 4 out of 5 stars4/5Game Theory: A Simple Introduction Rating: 4 out of 5 stars4/5The Little Book of Mathematical Principles, Theories & Things Rating: 3 out of 5 stars3/5Calculus Made Easy Rating: 4 out of 5 stars4/5Algebra I Workbook For Dummies Rating: 3 out of 5 stars3/5Quantum Physics for Beginners Rating: 4 out of 5 stars4/5Introducing Game Theory: A Graphic Guide Rating: 4 out of 5 stars4/5Relativity: The special and the general theory Rating: 5 out of 5 stars5/5Algebra II For Dummies Rating: 3 out of 5 stars3/5Real Estate by the Numbers: A Complete Reference Guide to Deal Analysis Rating: 0 out of 5 stars0 ratingsThe Thirteen Books of the Elements, Vol. 1 Rating: 0 out of 5 stars0 ratingsSee Ya Later Calculator: Simple Math Tricks You Can Do in Your Head Rating: 4 out of 5 stars4/5The Golden Ratio: The Divine Beauty of Mathematics Rating: 5 out of 5 stars5/5My Best Mathematical and Logic Puzzles Rating: 5 out of 5 stars5/5Sneaky Math: A Graphic Primer with Projects Rating: 0 out of 5 stars0 ratingsThe Everything Everyday Math Book: From Tipping to Taxes, All the Real-World, Everyday Math Skills You Need Rating: 5 out of 5 stars5/5Limitless Mind: Learn, Lead, and Live Without Barriers Rating: 4 out of 5 stars4/5Is God a Mathematician? Rating: 4 out of 5 stars4/5
Reviews for Hidden Semi-Markov Models
0 ratings0 reviews