Approximation of stationary processes by hidden Markov models

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Approximation of stationary processes by hidden Markov models

We propose an algorithm for the construction of a Hidden Markov Model (HMM) of assigned complexity (number of states of the underlying Markov chain) which best approximates, in Kullback-Leibler divergence rate, a given stationary process. We establish, under mild conditions, the existence of the divergence rate between a stationary process and an HMM, and approximate it with a properly defined ...

متن کامل

Approximation of the I-divergence between stationary and hidden Markov processes

We aim at the construction of a Hidden Markov Model (HMM) of assigned complexity (number of states of the underlying Markov chain) which best approximates, in Kullback-Leibler divergence rate, a given stationary process. We establish, under mild conditions, the existence of the divergence rate between a stationary process and an HMM. Since in general there is no analytic expression available fo...

متن کامل

Hidden Markov Models with Multiple Observation Processes

We consider a hidden Markov model with multiple observation processes, one of which is chosen at each point in time by a policy—a deterministic function of the information state—and attempt to determine which policy minimises the limiting expected entropy of the information state. Focusing on a special case, we prove analytically that the information state always converges in distribution, and ...

متن کامل

Non-stationary Hidden Semi Markov Models in Activity Recognition

Activity recognition is a process by which the ongoing observed behavior of an agent is tracked and mapped to a given model, explaining the behavior and accounting for hidden or unobservable state (e.g., goals or beliefs of the observed agents). Various methods for activity recognition exist. A popular family of such methods rely on Hidden Markov Models HMMs and variants for recognition. These ...

متن کامل

Stationary Markov Processes

We consider some classes of stationary, counting{measure{valued Markov processes and their companions under time{reversal. Examples arise in the L evy{It^ o decomposition of stable Ornstein{Uhlenbeck processes, the large{time asymptotics of the standard additive coalescent, and extreme value theory. These processes share the common feature that points in the support of the evolving counting{ me...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Mathematics of Control, Signals, and Systems

سال: 2010

ISSN: 0932-4194,1435-568X

DOI: 10.1007/s00498-010-0050-7