Application of Hidden Markov Model
Title: A New Application of Hidden Markov Model in Exchange Rate Forecasting
... new application of Hidden Markov Model (HMM) as a forecasting tool for the prediction of the currency exchange rate between the US dollar and the ...best model parameter of ...
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Application of Hidden Markov Model to locate soccer robots
... basic Hidden Markov Model theory, and then establishes a procedure in forecasting the robot locations in practical ...for Markov Model ( Ghahramani & Jordan, 1997 ) based ...
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Hidden Markov Model with Binned Duration and Its Application
... The hidden Markov models usually have to be expanded to include additional requirements such as the codon frame information, site state duration probability informations and must also follow some acception ...
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Hidden Markov Model with Duration Side Information for Novel HMMD Derivation, with Application to Eukaryotic Gene Finding
... the hidden states are labels associated with regions of exon, intron, and junk { e, i, j } ...the hidden Markov models usually have to be expanded to include additional requirements, such as the ...
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Application of a Layered Hidden Markov Model in the Detection of Network Attacks
... a Hidden Markov Model. The model learns the typical contents of payloads and their ordering to allow it to detect anomalous ...different application layer attacks that are carried in ...
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A Two-Channel Training Algorithm for Hidden Markov Model and Its Application to Lip Reading
... Hidden Markov model (HMM) has been a popular mathematical approach for sequence classification such as speech recognition since ...iterative application of expectation-maximization (EM) ...the ...
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The application of hidden markov model in building genetic regulatory network
... The research hotspot in post-genomic era is from se- quence to function. Building genetic regulatory net- work (GRN) can help to understand the regulatory mechanism between genes and the function of organ- isms. ...
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Progression of liver cirrhosis to HCC: an application of hidden Markov model
... typical of population dynamic models, collinearity between parameter estimates can lead to identifiability problems [39]. As a consequence, maximum likelihood estimates can sometimes yield implausible parameter values, ...
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The application of Poisson hidden Markov model to forecasting new cases of congenital hypothyroidism in Khuzestan province
... Monitoring epidemiologic surveillance data using HMM is an important area in the field. The results showed a mixture of two dynamics with a low and high level. Low level refers to the non-epidemic dynamic (the incidence ...
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On Parsing Visual Sequences with the Hidden Markov Model
... Hidden Markov Models have been employed in many vision applications to model and identify events of ...real application in psychology for ...
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Neural Hidden Markov Model for Machine Translation
... its application in stan- dalone decoding, i.e. the model is used to gener- ate and score candidates without assistance from a phrase-based ...to model alignment and translation, the recurrent ...
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Therapeutic exercise assessment automation, a hidden Markov model approach
... Visual inspection is a common way to assess the quality of movement by trained specialists. There is a need for baseline measure- ments in physical abilities and physiological characterization of the patients to find ...
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Hidden Markov model-based speech enhancement
... acoustic model of the system which can be calculated by applying the algorithm, which uses forward and backward variables, mentioned in Section ...language model of the system which linguistically ...
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Applying Hidden Markov Model to Protein Sequence Alignment
... Currently, one very promising approach for protein family related analysis of amino acid sequences is the application of so-called Profile Hidden Markov Models (Profile HMMs) as probabilistic target ...
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Hidden Markov model signal processing and control
... state hidden Markov ...processing application to communication systems. Both these application areas (communications and tracking) are important not only to demonstrate the usefulness of HMMs ...
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Hidden Markov Model for Credit Card Fraud Detection
... an application of HMM in credit card fraud ...as application of this knowledge in deciding the value of observation symbols and initial estimate of the model ...
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A Hidden Markov Model for the Linguistic Analysis of the Voynich’s Manuscript
... the application of the algorithm discussed in the previous section to several ...the model optimization algorithm to classify the letters of the alphabet (after removing all the punctuation signs) into two ...
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Personalized Marketing in Facebook using Hidden Markov Model
... million tweets per day (up from 55 million one year ago). These companies are establishing themselves as platforms for data aggregation, granting other companies access to the results through APIs, or application ...
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Disease surveillance using a hidden Markov model
... the application of auto- mated surveillance methods to help ensure the early detection and control of ...the model may be extended to include ...Exponential model [31], are likely to improve the ...
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A non parametric hidden Markov model for climate state identification
... unobserved Markov chain, which governs the state of the process only through its value at that time (Ephraim and Merhav, ...their application of a two-state HMM to simulate annual rainfall recorded at three ...
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