An easy and fast calculation method of the normalized n-ad sequence proportions in optically active polymers which derive from heterocyclic monomers and which obey first-order Markov statistics is developed. The proposed method does not require any computer calculation and provides very accurate values ...
English Text Zero-Watermark Based on Markov Model of Letter Level Order Two In the study of content authentication and tamper detection of digital text documents, there are very limited techniques available for content authenticati... FN Al-Wesabi,AZ Alsakaf,KU Vasantrao 被引量: 0发表: 0年 ...
Because jitter behavior is most deleterious for the former, we study the individual effects of various system and traffic parameters on the jitter statistics of a periodic stream multiplexed in a Markov-modulated Poisson process (MMPP)/M/1/K system. To demonstrate the flexibility of this ...
This paper surveysfirst-order probabilistic languages(FOPLs), which combine the expressive power of first-order logic with a probabilistic treatment of uncertainty. We provide a taxonomy that helps make sense of the profusion of FOPLs that have been proposed over the past fifteen years. We also ...
INARMarkov-switching modelmaximum likelihood estimationthinning operationA class of integer-valued autoregressive models is considered, which are based on a latten process e.g., a Markov chain. Some statistical properties of this class of models are discussed. Moreover, parameter estimation and ...
hidden Markov modelshigher order statisticslearning (artificial intelligence)speech processingspeech recognition/ high-order hidden Markov modelsfirst-order representationsorder-reducing algorithmORED algorithmfast incremental training algorithmWe detail an algorithm (ORED) that transforms any higher-order hidden ...
Schervish Probability and Statistics Addison Wesley, Boston, MA (2002) Google Scholar [22] R.J. Elliott, L. Aggoun, J.B. Moore Hidden Markov Models: Estimation and Control Springer-Verlag, Berlin (1995) Google Scholar [23] H.B. Enderton A Mathematical Introduction to Logic Harcourt Academic...
algorithm[J].AnnalsofStatistics 1983 11(1) 95- 103.相关精品文档 更多 Using Hidden Markov Model for Stock Day Trade …:利用隐马尔可夫模型对股票日交易… Gait phase analysis based on a Hidden Markov Model A hidden semi-Markov model with missing data and multiple a recognition method for lane ...
In [20], a combination of a single Kalman filter and a Gaussian hidden Markov model for each of the monitored sensors allows to simultaneously detect single and multiple sensor faults. However, the versatility of these fault detection algorithms is not good and their calculations are complex. ...
In this paper,through using histograms to estimate the marginal and joint statistics of Curvelet and Contourlet,Generalized Gaussian Model and Hidden Markov Model in respective domains are proposed. 针对目前模型主要以自然图像的简化模型为基础进行分析,导致与真正的自然图像还相差甚远的特点,本文采用直方图估...