Markov

Here, conducting an assessment of the threat of its system using markov latent effects (MLE) modeling from the point of system security.

Sergei Markov of the ruling United Russia party said there was no chance Mr Medevedev would risk such a sharp move.

Operations research and Markov decision processes tackled actions taking place in a sequence.

The semi-Markov process theory can be used to analyze the reliability of the system on this condition.

Particularly, the markov theory of random process has been used in reduced model.

By the imbedded Markov chain method, the packet mean waiting delay of the central station and the general station were obtained.

Markov process is an important stochastic process. It has profound theoretical fundament and extensive applied area.

Grey Markov Model for forecasting net income is presented by means of combining Grey system theory with dispersed Markov Chains theory.

The traffic model based adaptive allocation is analyzed under different traffic flow conditions and with Markov modeling.

An improvement in the state transition model of intrusion tolerance system is proposed and a semi-Markov process(SMP) model is built.

Furthermore, it studies the stable situation of the shunt influence with Markov analysis as well.

This study applies a Markov chain model to analyze perceived service quality by observing customer behaviors of a convenient store.

If by zhu yuanzhang for leading role, zhu yuanzhang with markov of a relationship, whether more exceedingly sentimental some.

Furthermore, the convergence of the DHIA is proved theoretically through the Markov stochastic process theory.

A hidden Markov model (HMM) has good adaptability, can automatically learn and adapts well when used in predicting temporal data.

This paper discusses the continuous time Markov decision processes in a semi-Markov environment with the average criterion.

Gaussian Mixture Model assumes the independence between data while Hidden Markov Model allows Markov assumption in a data series.

At present, many countries have adopted the markov regime switching model for the short-term interest rate, and have made a good result.

As an application, the authors characterize Markov measures with doubling properties on some self-similar sets.

Fault tree analysis method and Markov model method are frequently used in power system reliability evaluation.

Moreover we investigate the relations for Markov processes, martingales and stationary processes systematically.

As corollaries, a limit theorem for the mth-order nonhomogeneous Markov chains is obtained. Moreover. The results obtained are generalized.

Transient Analysis of Rewarded Continuous Time Markov Model by Regenerative Randomization with Laplace Transform Inversion.

The optimal model of inspection and maintenance for the deteriorating system is presented with the semi-Markov decision process.

OBJECTIVE: To apply Markov model in the drug market and to discuss its effect on the forecasting of the dynamic state of drug market.

This method overcomes the disadvantages of Markov Model that is only used in busy period and layout model of emergency vehicles.

Moreover we study the relations two-parameter average Markov processes, Markov processes, martingales and stationary processes.

The total fatigue damage distribution is analyzed based on a Markov chain of the fatigue damage.

For Tuba , in the absence of Japanese Markov, Han Peng, the streak could continue the momentum of their win is an important test.

Two of the most fundamental concepts in the theory of stochastic processes are Markov property and martingale property.

Markov-switching model is a method applied to investigating the structural changes of time series.

In this paper, we study the strong law of large numbers for nonhomogeneous Markov information sources.

The article discusses the reliability of repairable series-parallel systems and repairable parallel-series systems with Markov method.

As corollaries , several strong limit theorems about occurred frequency of states for hidden nonhomogeneous Markov model are obtained.

Switzer (1965) has demonstrated the existence of a random process in the plane with Markov property.

Experimental results show that, the new algorithm has better performance in precision and recall than simple hidden Markov model.

An algorithm generating Markov chain from heterogeneous software architecture modeled in UML sequence diagram is proposed.

A novel cue dependency model is built by means of dynamic Markov random fields.

The martingale property and the strong Markov property of this kind of surplus process are discussed.

A variational formula for lower bound of the principal eigenvalue of general Markov jump processes is presented.

The problem of the robust guaranteed cost control for time-delay stochastic systems with Markov switching parameters is discussed.

Inference is performed in a Bayesian framework using reversible jump Markov chain Monte Carlo.

Triplet Markov random fields (TMF) model is suitable for dealing with multi-class segmentation of non-stationary, non-Gaussian SAR images.

To address the problem above, the speech recognition system has been built on the basis of HTK as well as hidden markov model theory.

Hidden Markov Model, as a statistical model, can get the probability of hidden status by calculating the sequence of observed status.

We adopt a stochastic method and develop a two-state Markov chain model to formulate the collaborative freight consolidation problem.

Markov-Bernstein inequality for cardinal spline played an important role in its properties.

The similar result from time-variant-reliability theory can also be acquired by Markov process on the bridge structure.

A method extracting moving object was proposed by utilizing the Markov random field (MRF) and active contour model in video sequences.

Using Markov renewal theory we obtain some indexes such as the system availability, failure frequency and reliability function.

Gaussian Markov random field is a multivariate Gaussian probabilistic model with Markov property.

Thirdly, we propose a multilevel approach to accelerate the Belief Propagation algorithm on Markov random fields.

Taking the forecast accuracy and calculation efforts into account, Markov switching models can hardly be a better alternative.

Objective To research the application of weighted Markov chain in forecasting typhoid and paratyphoid .

In some cases, the substrate of methylation can be inferred from hidden Markov model sequence similarity networks.

This paper's contribution mainly concentrates on the following two parts: First, we improved that Markov based feature extraction approach.

The time distribution of the ith new type failure for Markov repairable systems was studied .

Finally, says Markov, Russia's strong military response was a type of warning.

Markov Random Field is extension of Markov Processing at the two-dimensional parameters set.

Experimental results show better performance in precision and recall over simple hidden Markov model.

To analyze those algorithms, a new method which models point multiplication algorithms as Markov Chain is proposed in this paper.

We integrating multiple depth cues extracted from an image with Markov Random Field to estimate depth map of the image.

Then, the degree distribution of improved scale-free networks calculated by Markov chains approach.

Finally, we study the properties of various character functions for Markov chains in random environments.

Pfam is a large collection of multiple sequence alignments and hidden Markov models covering many common protein families.

Markov skeleton processes(MSPs) are a general class of stochastic processes proposed by Prof. Hou, Prof. Zou and Prof. Liu in 1997.

Markov random field method is a very active research field in image segmentation.

Continuous-time Markov decision model is widely used in actual work.

Markov theory is applied in implementation process to analyze supply chain availability.

The phenomenon of random fluid flow on multistage column trays is simulated by applying theory and method of Markov process.

Gray model and Markov chain are integrated to set up road accidents model of gray Markov chain.

The research topics include approaches of robot's pose tracking, Markov localization, Particle Filter and other improved PF method.

S. and Britain think they are first-level countries and Russia a second-level country, we don't agree, " says Markov. "

This paper took the prediction of pavement condition index by the grey Markov model.

Then after word segmentation, we introduced Hidden Markov Model to identify most of musical entities.

HTK: Delve into this portable toolkit for building and manipulating hidden Markov models.

The mixing property of the hidden non-homogeneous Markov models is studied.

Markov Probability model has been established in this paper to evaluate the reliability of protective relays.

Markov moved to London where he learned English and started working for the Bulgarian section of the BBC World Service (1972).

In this thesis, we use both Hidden Markov Model (HMM) and Weight Array Model (WAM) to predict the splice sites.

A novel markov pairwise protein sequence alignment method was proposed in this thesis.

A modified Markov random field (MRF) model for color image restoration was presented.

On the basis of introducing the basic principles of DFH, the process of frequency hopping is modeled as the homogeneous Markov chain.

We analyze the throughput and medium access delay performance of DCF scheme by Markov model.

Hidden Markov Model is the mainstream algorithm in the filed of speaker recognition.

The time-varying reliability of existing bridge on bearing capacity was discussed based on fuzzy evaluation and Markov process.

The application of Markov train model in random program testing is discussed in this paper.

Based on Markov stochastic process theory, a transfer matrix model of air-to-ground strike is derived with the formula of full probability.

Then, the Hidden Markov Model is discussed and utilized to predict the splice sites.

And then, two methods of speech recognition are researched: Hidden Markov Mode1 (HMM) and Artificial Neutral Net (ANN).

The prior probability can he estimated by using the equivalence of the Markov random fields and the Gibbs Distribution (GD).

firstly , a rough motion template was obtained by motion detection based on markov random field model and through post - processing.

How to choose an optimality policy of Markov decision depends on the adoption of decision criterion most.

And the error bound of the simplified Markov model is mainly discussed.

By use of Markov chain, this paper presents a mathematical model of decision of drug production and application is illustrated.

So, it is practical to use the sequential clustering and Markov model to forecast the river runoff.

According to the basic principle of Markov Analysis, forecasting model of e-bike mode share is established in this paper.

A feature compensation algorithm based on hidden Markov model(HMM) and parallel model combination(PMC) is presented.

This paper proposes a Layered Hidden Markov Model(LHMM) and entropy method to detect a gathering event in real-time.

In this thesis, a two-layer Hidden Markov Model is constructed based on system call sequence and variable-length pattern sequence.

The traditional Markov Random Field (MRF) used in image segmentation have several disadvantages, such as too much time and no convergence.

The results showed that using Markov chain model to predict the future rainfall has higher credibility and viability.

This paper presents a discrete Markov model for analyzing the PFD(avg).

The supervised WSD method based on Hidden Markov Model (HMM) got a lower precision, only about 85% in open test.

the Markov model for the channel has a single transition time in each interval between consecutive packets.

15 billion dollars worth of industrialists, Iraq, shah dimension is a markov who dared to spend.

equations form the basis of Markov localization.

This paper deals with markov random field and it's application in image texture classification.

Then a Markov chain model is constructed based on variable-length patterns to detect abnormal behaviors.

A new gear fault detection and diagnosis scheme based on Hidden Markov Model(HMM) of vibration signals is introduced.

Markov cham is the integrity of finite Markov process.

This paper proposes a recognition algorithm to the eyes states based on ICA and Hidden Markov Model(HMM).

According to Markov field theory, the value that makes the pixel's energy least is its most probable estimation.

This paper proposes a novel contour tracking algorithm based on Hidden Markov Model (HMM) and optic flow.

The followings are the central work in this thesis, (1) Constructed a Hidden Markov Model-based hybrid method prediction system.

At first, a graph about the environment can be built based on the sample data generated from a Markov decision process (MDP).

Research on host modeling and intrusion detection based on two-lay Hidden Markov Model.

Based on Markov random field, an improved GA image restoration method is presented.

A Markov Chain Model of Tornadic Activity.

Secondly, the hidden Markov model which is the most popular speech recognition technology has been studied in the way of speaker indendent.

The emphasis will be on corpus-based methods and algorithms, such as Hidden Markov Models and probabilistic context free grammars.

A traffic prediction method based on semi-Markov process was presented.

The algorithm of gray system theories GM(1, 1) model was improved and combined with Markov's model.

In Markov's case, the umbrella contained a ricin pellet, which is next to impossible to trace.

In view of the preceding question, we can solve it by combination forecast through gray model and Markov model.

Based on this a prediction model for loan status is set up with the aid of Markov transfer matrix.

In order to evaluate the security situation of network, an evaluation method based on Hidden Markov Model (HMM) is proposed.

With investigation, we find that the short-term interest rate of our country satisfies a two regime markov regime switching model.

It is based on the markov random field with new features, such as clique potential, initial nodes probability density.

"I think most important is that by exchange, both sides recognize that those arrested people - they are spies, " said Sergei Markov.

There are many mathematical models to research the WLANs, for example, the two-dimensional Markov model and the queuing model.

Clearly, PPM with fixed maximal depth, such as PPMD, are designed for fixed Markov chain models (see, for example [12]).

A Strong Limit Theorem for the Harmonic Mean of the Random Transition Probabilities of Finite Nonhomogeneous Markov Chains

continuous - time markov decision processes to call admission control problem

A strong law of large numbers for nonhomogeneous Markov information sources

Markov skeleton processes and the transient queue length of a queueing system

A Grey- Markov Forecasting Model for Forecasting the Total Power Requirement of Agricultural Machinery in Shanxi Province

A Strong Limit Theorem and Its Extension for Countable Non-homogeneous Markov Chains

An Exact Tail-estimation for the Distribution of the Minimum Value About Partial Sum Sequence in a Two-state Stationary Ergodic Markov Chain

Research on Fuzzy Markov Chin Model with Weights and its Application in Predicting Life of Products

Comparative Study of Continuous Hidden Markov Models and Artificial Neural Network on Speaker Recognition

admissibility of linear predictor in the general gauss - markov model under matrix loss

The Markov Approximation of the Random Fields on Cayley Trees and a Class of Small Deviation Theorems

Financial Reinsurance; CAT; Insurance Derivatives; Partial Competitive Equilibrium; Markov Process; Asian Option;

Universal Markov Random Fields and Its Application in Multispectral Textured Image Classification

Tree Structure Decomposition-based Hidden Markov Tree Model Used in Texture Classification Model Research

Sensitivity Analysis and Performance Optimization of a Class of Continuous Time Markov Chains

Conservative Part and Invariant Probability of a Class Markov Chains in Random Environments

Properties of a Generalized Markov Process and its Entropy Rate

Ruin Probabilities in a Discrete Time Risk Model with a Markov Chain Interest

Power System Short Term Load Forecasting Based upon a Combination of Markov Chain and Fuzzy Clustering

A Model and a Algorithms of Quality Assessment for Lecture Based of Fuzzy Appraisal and Markov Chain

Hidden Markov Model with Its Application in Speech Signal Processing

Improve Availability of the Analytical Photo-positioning Apparatus with the Markov Producing Method

Moving object detection; Markov random field; Expectation maximization; Belief propagation;

Wavelet Transformation of Hidden Markov Processes and Its Parametric Estimation

Stochastic transition matrix, construction of markov chains in random environment and communicating properties

Some Limit Properties for the Functions of Two Variables of Nonhomogeneous Markov Chains

Application of the grey model and Markov-chain method to line-shape control of cantilever construction of PC continuous rigid frame bridge

Research on fuzzy Markov chain model with weights and its application in predicting the precipitation state

linear sufficiency in the general gauss - markov model

Reinforcement learning algorithm for partially observable Markov decision processes

Integrated Time-frequency Analysis to Detect Model Switch of a Class of Markov Switch Systems

The comparison between an arbitrary information source and Markov chains and its limit properties

Exploring Software Testing Method from the Point View of Markov Chain

Wheelchair robot; Speech recognition; Hidden Markov model; Wireless transmission;

The Markov Process Model of Customer Relationship Development and Its Application

Restriction of Markov Integrated Semigroups and Generation of Increasing Integrated semigroups

Classification of Positive Odd Numbers under Kakutani Transform and Its Markov Chain Model

Markov Chain Evaluation on the Result of Physical Education

Reconstruction of Superresolution Image Using Generalized Gaussian Markov Random Fields Model

An Abridged Algorithm and Parameter Estimation of Two Dimension Hidden Markov Chain Model

Parameter Decision in Adaptive Partially Observable Markov Decision Process with Finite Planning Horizon

Capital Asset Price Model with Markov Switching and Its Maximum Likelihood Estimator

Application of grey markov Chain model in prediction fatigue life of concrete

Model of Markov Chain with Weights and Its Application in Predicting the Precipitation State

A Reinforcement Learning Algorithm for Partially Observable Markov Decision Processes

Fuzzy Markov random filed model and a new algorithm for image segmentation

On the Stable Degree of a Repairable System with the Markov Process

Law of Iterated Logarithm for Markov Chains in Markovian Environments

Asymptotic Approximation to the Entropy Rate of Binary Hidden Markov Processes

The Computer Simulation Forecast of the Markov Chain for Construction Project Investment Risk

Applying reinforcement learning and semi-markov decision process to optimize supply chain performance

Contraction integrated semigroups and their application to continuous-time markov chains

Forecasting model and its application of energy structure and pollutant emission based on Markov chain

Asymptotically Mean Square Stability of Stochastic Bilinear Delay- system with Markov Switching

Bayesian inference; Markov Chain Monte Carlo; Ratings transitions; credit rating process model;

Fractal Dimension of a Class of Subsets on Markov Chain in Random Environment

Robust tracking and model following for a class of uncertain Markov jump systems

Vector error correct model with Markov regime switching and its applications

Attractor of stochastic differential delay equations with Markov jumping parameters

Theory of hidden Markov modeling and its implementation

Application of the Markov Chain Method on Teaching Quality Evaluation in Physical Education

The Valuation of Credit Spread Option under a Random Recovery Rate of Markov Chain Model

Application of Markov Forecasting Model in Demands of the Mine Valuable Equipment and Materials

Information Spread Estimation and Its Applicable to the Model of Gauss-Markov

Tendency Forecast of Three Gorge Land Using by Means of Markov

Reliability of systems, equipment and components - Guide to the application of Markov techniques

Application of "Regression-Markov" Integration Model in Forecasting Road Accidents

The Strong Law of Large Numbers for Markov Chains in Markovian Environments

Prediction of Dependent Stochastic Variable Sequent through Modified Markov Chain with Weight

Spatial-Temporal Dynamics of Jiangsu Regional Convergence with Spatial Markov Chains Approach

Ruin Probability in a Double-Type-Insurance Risk Model with Markov-Modulated Premium Rate

Discrete Time Markov Decision Process Based Multi-Period Decision Problem for Generation Companies

Research and Application of Markov Chain Theory to Operation of Irrigation Projects and Their Benefit Analysis

Coupling-based Simulation Algorithms to Compute Performance Potentials of Markov Chains

Markov Chain Approximation Approach of Stochastic Control Applied in Optimal Investment

Some Properties of Repeated Hits After the First Explosion of a Conservative and Nonregular Markov Chains in Single Exit Case

Water Resources Change and Its Trends Forecasted by Grey Markov Chain in Heihe River Basin

Forecast on changes of steppe degradation patterns in the Xilin River Basin, Inner Mongolia: an application of Markov process

Unsupervised segmentation of synthetic aperture Radar sea ice imagery using a novel Markov random field model

Markov Processes with Infinitely Divisible Limit Distributions

A Novel Hidden Markov Model and Its Application to Recognize Hand-Drawn Graphic Symbol

Spatial-Temporal Dynamics of Fujian Regional Convergence with Spatial Markov Chains Approach

Classifying method employing the entropy of a Markov chain

Iteration optimization algorithms for Markov control processes with compact action set

Some Strong Laws of Large Numbers for Markov Chain Fields Indexed by a Special Nonhomogeneous Tree

Forecast of occurrence degree of rice planthoppers in late rice field by Markov chains transition matrix

a survey on reinforcement learning under partially observable markov environment

Markov Forecast Model for Death Probability of Epidemic Cerebrospinal Meningitis

Availability Research on Distributed Simulation System Using Markov Chains

Optimal stationary policies for semi-Markov control processes with discounted-cost criteria

Optimal Robust Control Policy for Continuous-time Markov Control Processes With Average-Cost Criteria

Study on a Semi-Markov Model in the Maintenance of the Aviation Ordnance Synthetic System

Approximation of Semigroups of Linear Operators and Application to Continuous-Time Markov Chains

On the Strong Law of Large Numbers for Function of Markov Processes

Identifying a Type of Markov Chain Via Observation of Two Neighboring States

The Application of Exponential Distribution in Constructing the Imbedded Markov Chain

The Strong Law of Large Numbers for Markov Chains in Random Environments

Limit Theorems for Markov Chains and Stochastic Properties of Dynamical Systems by Quasi-Compactness

Unbiased grey-Markov chains model and its application in stock price studies

Telecommunications Network Traffic Flow Distribution Based on Markov-processes and Improvement of the Policy Iteration

Re-estimation of Continuous Hidden Markov Model with Multiple Observation without Overflow

On the Markov Convergence Analysis for the Combination of Genetic Algorithm and Ant Algorithm

The application of weighted markov-chain model of time sequence error to the prediction of grain yield state

Simplified calculation of first-arrival time probability density function value in Markov chain

Optimization Algorithms for Semi-Markov Control Processes With Average Criteria

Using Homogeneous Markov Chains Analysis Method to Appraise Teaching Efficiency

Markov probability forecasting of performance of asphalt pavement in expressway

Research progress of partially observable Markov decision processes

The Application of the Markov Model on the Dynamic Change of Wetland Landscape Pattern in Four-Lake Area

Parametric Estimate of Second-Order Hidden Markov Models Relation with the Observations

As the hidden Markov models of faces three basic problems and in resolving the same problem used a similar solution;

Gray Optimizing-Markov Predicating Model on Settlement of High-enrockment Embankment

A Markov model reduction technique for fault tolerant processor reliability analysis

The Applicability of Markov State Transition Model in Predicting Life Expectancy of Chronic Disease

Piecewise Deterministic Markov Processes and Their Application to Risk Theory

Rate of convergence of certain nonhomogeneous Markov chains

A Study about Application of Markov Chains in Colleges and Universities'Performance Evaluation

Optimal state and branch sequence based parameter estimation of continuous hidden Markov model