We present a formal analysis of the effectiveness of our topology control mechanism and introduce an inhomogeneous Markov chain model to prove its convergence. The experiment results from our simulation software show that our biologically-inspired algorithm produces encouraging results for uniform ...
Visualize Markov Chain Structure and Evolution Visualize the structure and evolution of a Markov chain model by usingdtmcplotting functions. Work with State Transitions This example shows how to work with transition data from an empirical array of state counts, and create a discrete-time Markov chain...
Consequently, the fluctuating system evolution process is implemented as a Markov chain of equivalence class objects. It is shown that the process can be characterized by the acceptance of metastable local transitions. The method is applied to a problem of Au and Ag cluster growth on a rippled ...
Markov chain as a model of Hill's theory on circulation 中国科学院机构知识库(CAS IR GRID)以发展机构知识能力和知识管理能力为目标,快速实现对本机构知识资产的收集,长期保存,合理传播利用,积极建设对知识内容进行捕获,转化,传播,利用和审计的能力,逐步建设包括知识内容分析,关系分析和能力审计在内的知识服务.....
我们假设了公式 (2) 中任意wn的取值只与最近⼀次的观测wn−1有关,⽽独⽴于其他所有之前的观测,那么就得到了⼀阶马尔科夫链 (first-order Markov chain),观测序列的联合概率分布为 (3)p(w1,w2,…,wN)=∏n=1Np(wn|wn−1) n元语言模型 (n-gram language model) 就是一个n阶马尔科夫链,符合...
A Markov-chain model is developed for the purpose estimation of the cure rate of non-performing loans. The technique is performed collectively, on portfolios and it can be applicable in the process of calculation of credit impairment. It is efficient in terms of data manipulation costs which mak...
It presents a general framework of aggregation in agent-based and related computational models, one which makes use of lumpability and information theory in order to link the micro and macro levels of observation. The starting point is a microscopic Markov chain description of the dynamical process...
In this case, the n-step transition probabilities r_{ij}\left(n\right) do not converge to a limit, because the doors are used in a cyclic order. Similarly, if m is even, the recurrent class of the chain is periodic, since the states can be grouped into two subsets, the even and...
被引量: 3发表: 2012年 Anomalous Behavior Detection in Crowded Scenes Using Clustering and Spatio-Temporal Features Detection of anomalous behaviors such as people standing statically and loitering around a place are the focus of this paper. In order to detect anomalous... Y Meng,S Rajasegarar,...
First, a Markov chain trust model is proposed to determine the trust value (TV) for each one-hop neighbor. A node's TV is analyzed from its previous trust manner that was performed in this group. The proposed trust model is proven as an ergodic continuous-time Markov chain model. Second...