搜索结果: 1-15 共查到“Markov”相关记录568条 . 查询时间(0.078 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Occupation fields for Markov loops
马尔可夫循环 占用域 格林函数
2023/11/29
In this talk, we introduce occupation fields for vertices and oriented edges and compute their distributions. More precisely, under the Markov loop measure, the expected number for crossings of an ori...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：The complexity of computing Markov perfect equilibrium in general-sum stochastic games
一般 随机博弈 马尔可夫完美均衡 计算复杂性
2023/5/11
Similar to the role of Markov decision processes in reinforcement learning, Markov games (also known as stochastic games) form the basis for the study of multi-agent reinforcement learning and sequenc...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Markov decision process and reinforcement learning for intelligent
智能 马尔可夫 决策过程 强化学习
2022/12/9
本次讲座主要针对智能运维中的建模优化问题。首先基于前期研究，我将讨论基于马尔可夫决策过程的有限周期的视情维护策略。考虑二元件系统以及系统元件的退化过程具有随机相关性，用二元伽马过程来描述系统退化过程。系统元件服从周期性检测，当元件的退化程度超过预防性维护阈值时，其会被替换。该维护问题可以表示成马尔可夫决策过程并可用动态规划来求解。不同于无限周期的维护策略，有限周期的最优策略是动态的，其在每次检测都...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Markov decision process and reinforcement learning for intelligent operation and maintenance
智能 马尔可夫 决策过程 强化学习
2022/12/9
本次讲座主要针对智能运维中的建模优化问题。首先基于前期研究，我将讨论基于马尔可夫决策过程的有限周期的视情维护策略。考虑二元件系统以及系统元件的退化过程具有随机相关性，用二元伽马过程来描述系统退化过程。系统元件服从周期性检测，当元件的退化程度超过预防性维护阈值时，其会被替换。该维护问题可以表示成马尔可夫决策过程并可用动态规划来求解。不同于无限周期的维护策略，有限周期的最优策略是动态的，其在每次检测都...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Evolutionary Markov Dynamics for Network Community Detection
网络社区检测 进化 马尔可夫 动力学
2022/11/15
Community structure division is a crucial problem in the field of network data analysis. Algorithms based on Markov chains are easy to use and provide promising solutions for community detection. In a...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Markov Chains and θ-Congruent Number Problem
马尔可夫链 θ-同余数 θ-全等数分布
2022/11/15
A positive integer n is called a θ-congruent number if n sin θ is the area of a triangle with rational side lengths and with an angle θ. Markov chains play a key role in the study of the distribution ...
基于CA-Markov模型的贵阳市花溪区景观格局预测及优化
花溪区 城市景观格局 CA-Markov模型 最小累积阻力模型 热点分析
2020/12/10
为优化贵阳市花溪区的景观格局,以2008—2018年的花溪区景观为研究对象,采用CA-Markov模型对花溪区未来景观格局进行预测,并使用最小累计阻力模型及热点分析,对区域景观格局进行优化。结果表明:(1)花溪区景观类型主要由乔灌地及耕地构成,2008—2018年间,区域建设用地扩张迅速,景观斑块数量及破碎化程度不断上升,其它景观基数较少。其中草地占比稳步升高,裸地占比总体下降,水体景观的变化则相...
对中国初治的基因1b型慢性丙型肝炎患者的新型抗病毒药物(DAAs)方案进行成本-效果分析,为相关医疗卫生决策提供药物经济学证据。方法 根据慢性丙型肝炎疾病自然史构建Markov模型,从中国医疗卫生体系角度出发,分别模拟非肝硬化和代偿性肝硬化丙肝患者在不同治疗方案下获得的质量调整生命年(QALYs)和所花费的直接医疗成本,并计算增量成本-效果比(ICER)。模型循环周期为1年,模拟时限设定为终身(1...
Complexity of Estimating Renyi Entropy of Markov Chains
information theory Renyi entropy Min-entropy
2019/7/8
Estimating entropy of random processes is one of the fundamental problems of machine learning and property testing. It has numerous applications to anything from DNA testing and predictability of huma...
Lattice Gaussian Sampling by Markov Chain Monte Carlo: Bounded Distance Decoding and Trapdoor Sampling
lattice Gaussian sampling Markov chain Monte Carlo bounded distance decoding
2019/6/5
Sampling from the lattice Gaussian distribution plays an important role in various research fields. In this paper, the Markov chain Monte Carlo (MCMC)-based sampling technique is advanced in several f...
基于Markov模型的纳武利尤单抗治疗化疗后失败的进展期胃癌的成本效果分析
胃肿瘤 免疫疗法 纳武利尤单抗 费用效益分析
2019/3/29
评价近期在国内批准上市的纳武利尤单抗治疗化疗后失败的进展期胃癌的成本效果。方法：采用ATTRACTION-2临床试验所获数据（纳武利尤单抗组330例，安慰剂组163例），建立Markov模型模拟化疗失败后进展期胃癌的疾病过程。分析每组的成本、生命年（LY）以及质量调整生命年（QALY），然后计算增量成本效果比（ICER），并根据程序性细胞死亡配体1（PD-L1）的表达进行了亚组分析。运用敏感度分析...
本研究采用Markov模型对坎地沙坦酯、厄贝沙坦和替米沙坦预防高血压患者卒中和心肌梗死事件进行长期经济学评价,为高血压药物干预提供依据。方法 根据高血压疾病自然史构建Markov模型,从全社会角度预测不同治疗方案下患者的医疗费用和获得的质量调整生命年(quality adjusted life years,QALYs),并计算增量成本效果比(incremental cost-effectivene...
SAR IMAGE CHANGE DETECTION BASED ON FUZZY MARKOV RANDOM FIELD MODEL
SAR change detection Markov random field fuzzy set theory
2018/4/30
Most existing SAR image change detection algorithms only consider single pixel information of different images, and not consider the spatial dependencies of image pixels. So the change detection resul...
LANDSLIDE INVENTORY MAPPING FROM BITEMPORAL 10 m SENTINEL-2 IMAGES USING CHANGE DETECTION BASED MARKOV RANDOM FIELD
Landslide Inventory Mapping Change Detection Normalized Difference Vegetation Index Principal Component Analysis Markov Random Field Sentinel-2 Images
2018/4/30
Landslide inventory mapping is essential for hazard assessment and mitigation. In most previous studies, landslide mapping was achieved by visual interpretation of aerial photos and remote sensing ima...
MONITORING FARMLAND LOSS CAUSED BY URBANIZATION IN BEIJING FROM MODIS TIME SERIES USING HIERARCHICAL HIDDEN MARKOV MODEL
Urban Encroachment onto Farmland Time Series Change Detection Hierarchical Hidden Markov Model (HHMM)
2018/4/30
In this study, we proposed a method to map urban encroachment onto farmland using satellite image time series (SITS) based on the hierarchical hidden Markov model (HHMM). In this method, the farmland ...