Hidden markov model
A Novel Approach for Inflation Analysis Using Hidden Markov Model
... A Hidden Markov Model (HMM) [12] is a finite state machine which has some fixed number of ...observations. Hidden Markov models were introduced in the beginning of the 1970’s as a tool ...
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EXTENSION OF HIDDEN MARKOV MODEL FOR RECOGNIZING LARGE VOCABULARY OF SIGN LANGUAGE
... autonomous output. However, it is possible to train independently the different channels, and to set the different channels together at recognition moment. Using this novel approach, we have to reduce the FSL modelling ...
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EVALUATION OF HIDDEN MARKOV MODEL BASED ADAPTIVE PROVISIONING OF OPTICAL BURST SWITCHING NETWORKS AMENABLE FOR UPGRADATION TO GREEN FLEXIGRID NETWORKS
... required. Hidden Markov Model (HMM), provides the solution for wide variety of applications such speech tagging and noun-phrase chunking (Chomphan, 2012), is also flexible enough to predict any type ...
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Classification of Flying Insects with high performance using improved DTW algorithm based on hidden Markov model
... Insects play significant role in the human life. And insects pollinate major food crops consumed in the world. Insect pests consume and destroy major crops in the world. Hence to have control over the disease and pests, ...
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The Influence of Hydroxylation on Maintaining CpG Methylation Patterns: A Hidden Markov Model Approach.
... and model the contribution of 5hmC to processes of demethyla- tion in mouse ...extended hidden Markov model capable of accurately describing the regional contribution of 5hmC to demethylation ...
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Clustering financial time series: new insights from an extended hidden Markov model
... by model-based clustering of regime switching ...proposed model handles simultaneously the heterogeneity across stock markets and over time, ...mining, hidden Markov model, stock ...
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Design of Tree Structure in Context Clustering Process of Hidden Markov Model-Based Thai Speech Synthesis
... In the tree-based context clustering process, tone groups and tone types are used to design four different structures of decision tree including a single binary tree structure, a simp[r] ...
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Using Bayesian Nonparametric Hidden Semi-Markov Models to Disentangle Affect Processes during Marital Interaction.
... traditional Hidden Markov Model in two fundamental ways: (1) by incorporating varying state durations, micro-social event dynamics are not constrained to a geometric form—acknowledging that time in ...
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Prokaryotic caspase homologs: phylogenetic patterns and functional characteristics reveal considerable diversity.
... Bacterial protein sequences belonging to the Pfam-A 25.0 (http://pfam.sanger.ac.uk/) protein family Peptidase_C14 (PF00656) were used to train a bacteria-specific metacaspase Hidden Markov Model ...
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HIDDEN MARKOV MODELS WITH COVARIATES FOR ANALYSIS OF DEFECTIVE INDUSTRIAL MACHINE PARTS
... (Sirima and Pokorny, 2014) was proposed. The major research question is whether the machine part error correction and the amount of time spent on error correction reduce the probability of subsequently entering the ...
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Isolated Malay Digit Recognition Using Pattern Recognition Fusion of Dynamic Time Warping and Hidden Markov Models
... This paper proposes a fusion pattern recognition method for isolated Malay digit recognition using Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). DTW was used in speech recognition in 70’s ...
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Aprendizagem eficiente de classificadores sequenciais em padrões longos
... learning Hidden Markov Models [Rabiner, 1989], (ii) transforming the original feature space into another one in which each transformed feature corresponds to a frequent sub-sequence of elements in the ...
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Cad. Saúde Pública vol.30 número10
... of hidden states generated by the hidden Markov model were classified, respectively, as: correct by both reviewers; correct by reviewer A, but incorrect by reviewer B; correct by reviewer B, ...
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Detection of vulnerabilities and automatic protection for web applications
... a hidden Markov model (HMM) (Rabiner, 1989) to characterize vul- nerabilities based on a set of source code slices with their code elements ...The model can then be used as a static analysis ...
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Higher Order Markov Chain Model for Synthetic Generation of Daily Streamflows
... a model to generate daily streamflow based on linear interpolation of five-day average flows using statistical modeling for the non-deterministic component of the daily time series was proposed by ...the ...
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Proposta de uma representação tensorial para modelos markovianos ocultos
... (Hidden Markov Models – ...de Markov oculta e outro para representar as emis- sões do modelo ...de Markov global capaz de representar o modelo ...de Markov globais obtidas a partir de ...
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Cost-Effectiveness of a Community Pharmacist-Led Sleep Apnea Screening Program - A Markov Model.
... a Markov model. The Markov model included 4 mutually exclusive and collectively exhaustive health states: (1) OSAS treated, (2) OSAS untreated, (3) No OSAS, and (4) No OSAS treated ...
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Spike correlations in a songbird agree with a simple markov population model.
... each model sleep burst is clearly associated with one of 100 song-related activity ...our model provides a sound basis for the quantitative testing of such ...
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MASSIVE SPLEEN: A HIDDEN DANGER!
... RESULTS: Microscopy showed effacement of the normal architecture along with a nodular architecture in the white pulp with small lymphocytes surrounded by medium to large lympho[r] ...
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A BUSINESS SYSTEM BASED ON AGENT TECHNOLOGY DESIGN
... business model describes the logic of a business system to capture the value chains hidden in the actual ...business model is a description of the value that a company offers to a specific segment of ...
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