Markov Model
MicroRNA prediction using a fixed-order Markov model based on the secondary structure pattern.
... Predicting miRNAs is an arduous task, due to the diversity of the precursors and complexity of enzyme processes. Although several prediction approaches have reached impressive performances, few of them could achieve a ...
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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 ...hidden Markov model capable of accurately describing the regional contribution of 5hmC to demethylation ...
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Hidden Markov model and Chapman Kolmogrov for protein structures prediction from images
... In the present work, Otsu method is applied to allow global thresholding. Global thresholding generally simple and it allows many variations of thresholding for neighbor pixels. But it is failure when gray scale image ...
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EXTENSION OF HIDDEN MARKOV MODEL FOR RECOGNIZING LARGE VOCABULARY OF SIGN LANGUAGE
... Hidden Markov Model to speech recognition ...the model were determined by the most likely performance criterion, this problem would be ...sequential model. Based on these criterions, Hiddem ...
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Fuzzy Markov Model for Arrival Process in Web Server Queues
... 2 model description section 3 recalls the preliminaries needed for this paper and section 4 Studies the characteristics of the arrival process to Input node using a non homogeneous fuzzy probabilistic ...
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A Novel Approach for Inflation Analysis Using Hidden Markov Model
... Hidden Markov Model (HMM) [12] is a finite state machine which has some fixed number of ...Hidden Markov models were introduced in the beginning of the 1970’s as a tool in speech ...This model ...
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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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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, ...hidden Markov model, stock indexes, latent class ...
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Classification of Flying Insects with high performance using improved DTW algorithm based on hidden Markov model
... Hidden Markov Model using the concept of clustering has been used for robust and general classification with intrinsic and extrinsic features of the insect’s flight ...
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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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Markov approach to evaluate the availability simulation model for power generation system in a thermal power plant ,
... using Markov concept has been carried out. Markov modeling is based on the assumption that a system and its components can be in different ...A Markov model is so-called state space ...
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Spike correlations in a songbird agree with a simple markov population model.
... population model that is independent of detailed single-neuron ...the Markov model is able to reproduce observed firing statistics and spike correlations in different neuron types and behavioral ...
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Hidden Markov models for credit risk
... Hidden Markov Model series with the aim of comparing the real data series with a Hidden Markov Model obtained from this series' expected value and transition probability ...
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Modelos de Markov aplicados a saúde.
... de Markov prestam apoio aos problemas de decisão envolvendo incertezas em um período contínuo de ...de Markov consideram os pacientes em um estado discreto de saúde, e os eventos representam a transição de ...
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Métodos estatisticos em cadeias de Markov
... de Markov ´e um processo estoc´astico cujo comportamento dinˆamico ´e tal que as distribui¸c˜oes de probabilidade para o seu desenvolvimento futuro depende somente do estado presente, n˜ao levando em ...
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CADEIAS DE MARKOV: APLICAÇÕES NO COTIDIANO
... Andreyevich Markov foi um matemático russo, formado pela Universidade Estatal de São Petersburgo em 1878, onde se tornou professor em ...1900 Markov aplicou métodos de frações contínuas, que havia sido ...
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An open Markov chain scheme model for a credit consumption portfolio fed by ARIMA and SARMA processes
... Since the ex- act distribution of the sum of independent Gamma random variables may be represented as an infinite mixture of Gamma random variables all with the same rate parameter and w[r] ...
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Weekly Rainfall Analysis for Crop Planning Using Markov’ s Chain Model for Kandhamal District of Odisha, India
... region. Markov chain model has been utilized to derive the probability of dry or wet weeks and also forward and backward accumulation of rain water suitable for crop ...
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A markov chain model in decision making
... Here, in order to give a mathematical formulation of the d-m process, we introduce a finite absorbing Markov chain having as states the steps of this process described i[r] ...
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Ensaios em análise técnica e cadeias de Markov
... of Markov chains has recently focused on modeling multi- ple categorical data ...multivariate Markov chains (MMC), with m categorical data and s states, consists of expanding the state space by considering ...
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