Markov Models
Hidden Markov models applied to a subsequence of the Xylella fastidiosa
... subsequence composed of genes XF1141 and XF1196, a total of 38,730 bases. This subsequence is mainly formed by genes that describe three well-defined and contiguous regions. Region 1 starts at base 1 and goes as far as ...
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On the representability of complete genomes by multiple competing finite-context (Markov) models.
... multiple Markov model and state-of-the-art compression models reveals that the Markov-only description is able to explain genomes almost as well or even ...of Markov models, which are ...
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Effective identification of conserved pathways in biological networks using hidden Markov models.
... algorithms can effectively find conserved substructures with relatively small sizes, but many of them suffer from high computational complexity that makes it difficult to find larger substructures. Furthermore, many ...
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Fast Bayesian Inference of Copy Number Variants using Hidden Markov Models with Wavelet Compression.
... By integrating Haar wavelets with Hidden Markov Models, we achieve drastically reduced running times for Bayesian inference using Forward-Backward Gibbs sampling. We show that this improves detection of ...
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Isolated Malay Digit Recognition Using Pattern Recognition Fusion of Dynamic Time Warping and Hidden Markov Models
... Hidden Markov Model (HMM): HMM is typically an interconnected group of states that are assumed to emit a new feature vector for each frame according to an emission probability density function associated with that ...
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Using Bayesian Nonparametric Hidden Semi-Markov Models to Disentangle Affect Processes during Marital Interaction.
... existing models of marital interaction are inadequate: affect state emissions and their durations, along with the expected variability differences between distressed and non- distressed couples are present but ...
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HIDDEN MARKOV MODELS WITH COVARIATES FOR ANALYSIS OF DEFECTIVE INDUSTRIAL MACHINE PARTS
... the Markov chain has reached its stationary, or the desired posterior distribution and to determine the number of iterations to keep after the Markov chain has reached ...
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Proposta de uma representação tensorial para modelos markovianos ocultos
... Hidden Markov Models ...hidden Markov chain and another to represent the HMM model ...global Markov chain capable of representing the HMM ...global Markov chains obtained from both the ...
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Modelos de Markov aplicados a saúde.
... these models can be used more often to represent clinical structures. Markov models consider the patients in a discrete state of health, and the events represent the transition from one state to ...
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Smart Web-Based Platform to Support Physical Rehabilitation
... Hidden Markov Models (HMMs) is used to discriminate in real time the main faults in the execution of the therapeutic ...the models are as reliable as the physiotherapists to discriminate and identify ...
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Nonequilibrium Enhances Adaptation Efficiency of Stochastic Biochemical Systems.
... of Markov models for various sensory systems have been proposed over the years [17, 21 – ...influential models is the Markov model based on ligand-induced receptor modification proposed by ...
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Web Page Recommendation Using Web Mining
... In tradition approach association rule mining and probabilistic models are commonly used. Models like sequential modeling are effective in the recommendation [2]. Markov models[r] ...
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Einstein (São Paulo) vol.8 número3
... the cycle in years produces the life expectancy in years. In economic evaluations, it is common to observe this estimate in terms of quality-adjusted life years (QALY). The main advantage resides in averaging the ...
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Aprendizagem eficiente de classificadores sequenciais em padrões longos
... Many applications, such as information extraction, intrusion detection and protein fold recognition, can be expressed as sequences of events or elements (rather than unordered sets of features), that is, there is an ...
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Estimação paramétrica e não-paramétrica em modelos de markov ocultos
... In this work we study the Hidden Markov Models with finite as well as general state space. In the finite case, the forward and backward algorithms are considered and the probability of a given observed ...
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Tempo de espera para a ocorrência de palavras em ensaios de Markov
... Assim, o nosso principal objetivo dessa disserta¸c˜ao ´e encontrarmos a distribui¸c˜ao do tempo de espera at´e que um membro de uma cole¸c˜ao finita de palavras seja observado em uma sequˆencia de ensaios de ...
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TEORIA BASICA DAS CADEIAS DE MARKOV
... Neste cap´ıtulo vamos mostrar como um simples gesto de pesquisar um assunto no Google tem por tr´as muita matem´atica, mais precisamente, cadeias de Markov. Numa ´epoca em que a internet se transformou em um ...
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Uma ánalise do procedimento de controle on-line de qualidade de Taguchi baseado nos resultados de uma sequência de inspeções
... In this paper, a procedure for the on-line process control of variables is proposed. This procedure consists of inspecting the m-th item from every m produced items and deciding, at each inspection, whether the process ...
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CADEIAS DE MARKOV NO ENSINO MÉDIO
... De modo geral, pode-se representar os estados e as probabilidades de transição, respetivamente, por Ei e Pij , onde i e j são um índies que identiam os vários estados possíveis (logo Pij[r] ...
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CADEIAS DE MARKOV: UMA AULA PARA ALUNOS DO ENSINO MÉDIO
... Estas apresentam conceitos essenciais e são acessíveis a todo aluno do ensino médio, pois o conteúdo pode ser repassado sem muito rigor como um tópico dentro de probabilidades, uma vez que os pré-requisitos necessários ...
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