马尔可夫

一种基于团队马尔可夫博弈的多agent协同强化学习算法

A Multi-agent Cooperative Reinforcement Learning Algorithm Based on Team Markov Game

马尔可夫药物动力学模型B

The Markov Model B in Pharmacokinetics

对隐马尔可夫模型训练过程中参数B的优化方法进行改进。

Improve on optimized method of parameter B in the process of HMM training .

随机马尔可夫切换系统的H∞模型降阶

H-infinity model reduction for stochastic systems with Markovian jump parameters and time delay

基于小波域隐马尔可夫模型的人脑MRI体数据分类

Classification of Brain MRI Volume Data Based on Wavelet-Domain Hidden Markov Model

在非高斯马尔可夫噪声中的Robust检测

Robust Detection in Non - Gaussian Markov Noise

离散型F随机变量及F马尔可夫链

Discrete 's Mode of F Random and F Chain Markovian

研究了一种基于DCT变换和嵌入式隐马尔可夫模型（EmbeddedHiddenMarkovModel）的人脸识别方法。

A method based on Embedded Hidden Markov Model ( EHMM ) and DCT feature is presented .

一种基于非参数密度估计和马尔可夫上下文的SAR图像分割算法

A Segmentation Method of SAR Images Based on Non-parametric Density Estimate and Markovian Contexture

隐马尔可夫模型模型（HMM）基本理论；

The Basis Theoretical of Hidden Markov Model ( HMM ) ;

分别用TS及ITS训练隐马尔可夫模型进行动态手势识别。

TS and ITS are applied to training HMM for dynamic gesture recognition .

连续型隐马尔可夫模型（HMM）参数与语音识别

On the parameters of hidden Markov models ( hmm ) and speech recognition

隐马尔可夫模型（HiddenMarkovmodel，HMM）是一种概率模型，它假定观测序列是由包含若干隐状态的马尔可夫过程产生的。

Hidden Markov Model ( HMM ) is a statistical model which assumes the observa-tion sequence is generated by a Markov process with hidden states .

应用Shannon熵和其他熵指数来度量马尔可夫决策的复杂性。

Shannon ′ s entropy is applied to measure the complexity of Markov decision processes .

本文实现的中文命名实体识别系统采用了隐马尔可夫模型（HiddenMarkovmodel，HMM）与自动规则提取相结合的方法。

This paper presents a Chinese named entity recognition system that integrates the Hidden Markov Model ( HMM ) and rules which are automatic extracted from the training corpus .

在马尔可夫链理论的基础上，介绍工程承包过程的数学模型并探讨工程承包风险分析的Markov方法。

Based on the Markov chains theory , this paper introduces the mathematical model of project contracting and the Markov method of analysing the bidding risk .

此外，为了进一步提高检测精度，背景区灰度分布采用Gamma分布模型描述，提出一种基于马尔可夫随机场改进的水下声纳图像目标检测方法。

Furthermore , in order to further improve detection precision , the Gamma distribution model is used to describe the background region gray distribution .

文章提出了一种基于多个马尔可夫信道的自适应联合选择重发ARQ协议。

This paper proposes an Adaptive Joint Selective Repeat ARQ protocol for multiple wireless Markov channels .

在Markov性能势基础上讨论了一种基于强化学习的马尔可夫决策过程（MDP）优化方法。

We discuss the reinforcement learning-based optimization methods of Markov decision processes ( MDPs ) using the Markov performance potentials .

用GM（1,1）模型预测短期负荷虽具有很好的精确性，但对于波动性较大的高峰负荷，它的预测精度比较低，而马尔可夫模型可以克服负荷波动较大的局限性。

Using GM ( 1,1 ) model to predict short-period load has good accuracy , but to the high waving peak load , its accuracy is low .

关于任意Cayley树上马尔可夫链场的一类强大数定律

Strong Large Number Law for Markov Chains Field on Arbitrary Cayley Tree

Cayley树上马尔可夫链场的极限性质

Limit Property of the Markov Chain Fields on Cayley Tree

为了使得协议参数设置可以满足QoS要求并且进行准确的实际模拟，我们使用完全符合实际无线环境的马尔可夫模型来模拟无线链路。

In order to derive the protocol parameter setting fulfilling the QoS requirements , we develop detailed models of the ARQ protocol and TCP by using standard Markovian techniques .

而对于给定的矩阵Q如何求出P（t），Ψ（λ），或A的问题，实际上是可列马尔可夫过程的一个核心问题：即Q过程的构造问题。

How to find P ( t ),Ψ(λ) or A when Q matrix is given in fact is the key problem in denumerable Markov processes i.e. construction problem of Q process . In ref.

并论述了隐马尔可夫模型和Viterbi算法在词性标注的运用中的实现方法。

At the end , we discuss the using of the Hidden Markov Mode and the Viterbi algorithm in life .

MDP自适应决策是求解信息不完全马尔可夫决策问题的方法。

Adaptive decision of MDP is a method to solve Markov Decision Processes with incomplete information .

为了评定一个布置有诱饵的雷达阵地抗反辐射导弹（ARM）攻击的防御效能，提出了采用马尔可夫链的转移概率矩阵进行计算的方法。

To evaluate the defense effectiveness of a radar site with decoys against the attack of ARM , a calculation method based on the transfer probability matrix of the Markov link is given .

为使得隐马尔可夫模型（HMM）能够处理非相邻可见符号之间的依赖关系，将延时机制引入标准的HMM中。

To enable hidden Markov models to account for dependencies between non-adjacent observation symbols , time-delay is introduced to standard high order HMM states .

定量地分析与评价经典隐马尔可夫模型（HiddenMarkovmodel，HMM）的性能，是汉语连续语音识别研究中尚未解决并且亟需解决的问题。

In the area of mandarin continuous speech recognition , there has always been an urgent but unaddressed task to quantitatively analyze and evaluate the performance of classical Hidden Markov Model ( HMM ) .

提出了一种基于小波域隐马尔可夫树（HMT）模型的RGB彩色图像超分辨率算法。

This paper presents a wavelet-domain Hidden Markov Tree ( HMT ) - based color image superresolution algorithm .