A Hidden Semi-Markov Model with Duration-Dependent State Transition Probabilities for Prognostics
نویسندگان
چکیده
منابع مشابه
Recurrent Hidden Semi-markov Model
Segmentation and labeling of high dimensional time series data has wide applications in behavior understanding and medical diagnosis. Due to the difficulty of obtaining a large amount the label information, realizing this objective in an unsupervised way is highly desirable. Hidden Semi-Markov Model (HSMM) is a classical tool for this problem. However, existing HSMM and its variants typically m...
متن کاملHidden semi-Markov model for anomaly detection
In this paper, hidden semi-Markov model (HSMM) is introduced into intrusion detection. Hidden Markov model (HMM) has been applied in intrusion detection systems several years, but it has a major weakness: the inherent duration probability density of a state in HMM is exponential, which may be inappropriate for the modeling of audit data of computer systems. We can handle this problem well by de...
متن کاملState-dependent time warping in the trended hidden Markov model
In this paper we present an algorithm for estimating state-dependent polynomial coefficients in the nonstationary-state hidden Markov model (or the trended HMM) which allows for the flexibility of linear time warping or scaling in individual model states. The need for the state-dependent time warping arises from the consideration that due to speaking rate variation and other temporal factors in...
متن کاملHidden semi-Markov model based speech synthesis
In the present paper, a hidden-semi Markov model (HSMM) based speech synthesis system is proposed. In a hidden Markov model (HMM) based speech synthesis system which we have proposed, rhythm and tempo are controlled by state duration probability distributions modeled by single Gaussian distributions. To synthesis speech, it constructs a sentence HMM corresponding to an arbitralily given text an...
متن کاملذخیره 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: Mathematical Problems in Engineering
سال: 2014
ISSN: 1024-123X,1563-5147
DOI: 10.1155/2014/632702