THE RANDOM CLUSTER MODEL ON A FINITE NETWORK 44
On the Random Cluster Model
... the Random Cluster Model on a modest 10 × 10 square lattice with periodic boundary conditions has 2 200 states and even elementary operations on this entire space will not work on any existing ...
32
The random cluster model on the tree : Markov chains, random connections and boundary conditions
... of random cluster mod- els defined by Grimmett-Janson boundary ...the random cluster model with open boundary conditions is ...of random cluster models that corresponds ...
195
Random walks on finite lattices with multiple traps: Application to particle cluster aggregation
... on finite lattices with multiple traps: Application to particle-cluster aggregation Abstract For random walks on finite lattices with multiple (completely adsorbing) traps, one is interested ...
20
On Delaunay random cluster models
... Delaunay random cluster represen- tations, we also happen to show the non-uniqueness of Gibbs measures, and essentially, a phase transition for the Delaunay Potts ...Delaunay random cluster ...
125
Cluster Analysis of Multivariate Data Using Scaled Dirichlet Finite Mixture Model
... of model based ...mixture model to further extend the work of modelling multivariate proportional ...a model selection technique called the minimum message length to determine the number of ...
83
Network Coding for Wireless Sensor Network Cluster over Rayleigh Fading Channel: Finite State Markov Chain
... decodable network codes for lossy feedback environment its tested; in this work we use direct transmission and the these packets are not ...WSN cluster configuration, all nodes are considered to be static, ...
11
Finite production rate model with backlogging, service level constraint, rework, and random breakdown
... both random machine breakdown and the production of nonconforming items are inevitable, and adopting a backlogging policy with a predetermined minimum acceptable service level can sometimes be an effective ...
18
Bayesian Analysis of Network Data. Model Selection and Evaluation of the Exponential Random Graph Model
... the model with the observed ...the model evidence. Cross validation approaches can be used for model selection, ...A model is trained on a random subset and the rest of the data is ...
251
A Markov Random Field Model for Network-based Analysis of Genomic Data
... Markov random field (MRF)-based method for identify- ing genes and subnetworks that are related to ...MRF-based model efficiently utilizes the known pathway structures in identifying the differ- entially ...
18
Random finite set filters for superpositional sensors
... 10.1. State and Motion Model In order to study the performance of the various proposed Σ–MeMBer filters the following setup is used. The monitored area is a square two dimensional area of 4m 2 . Different amounts ...
233
Topological Recursion and Random Finite Noncommutative Geometries
... 20 Chapter 3. Topological Recursion such that the gluing map reverses the orientation. Similar to the classical case, the cornerstone for the relation between the multi-trace formal 1-Hermitian matrix integrals and the ...
95
Study on Coupling of Entrepreneurial Enterprise Growth and Enterprise Network Competence Based on a Random Network Model
... social network is treated as the pipeline for entrepreneurial enterprises to contact and acquire external resources, so it has important significance for the growth of entrepreneurial ...
5
A network embedding model for pathogenic genes prediction by multi-path random walking on heterogeneous network
... heterogeneous network that consists of pheno- type network, gene(protein) network, and known disease gene-phenotype associations ...phenotype network. As for the protein network, the ...
12
Research of Network System Reconfigurable Model Based on the Finite State Automation
... II. R ECONFIGURABLE Reconfigurable is not a new concept noun, but it had already appeared in the field of manufacturing systems and information systems. Although people put forward the concept of reconfigurable system ...
8
An Analytic Finite Capacity Queueing Network Model Capturing Congestion and Spillbacks
... 6: Network C: configuration, topology and scenario ...our model accurately mimics in-patient bed ...the network is presented in table 7. The network consists of 9 operating and post-operative ...
19
Secure And Efficient Cluster Based Routing Model For Wireless Sensor Network
... sensor network. However, improper cluster selection technique will lead to performance ...better cluster selection evolutionary computing is adopted by existing ...for cluster head ...SESECC ...
8
PERFORMANCE ANALYSIS OF RANDOM WAYPOINT MOBILITY MODEL FOR MOBILE AD-HOC NETWORK
... 179 event increments a link down counter. Vice versa, when two nodes move into the transmission range, a connection is gained. This is a link up case. So we analyse how the mobility affects the link up/down dynamics. ...
8
An analytic finite capacity queueing network model capturing blocking, congestion and spillbacks
... with finite capacities. When wanting to model real scale finite capacity networks with arbitrary topologies the main complexity lies in appropriately acknowledging the between-queue correlation while ...
25
Spacecraft Relative Navigation Using Random Finite Sets
... When SLAM is formulated with feature-based maps, the mapping portion of the prob- lem can be thought of as a multi-target tracking problem. Then, the features in the envi- ronment are the targets being tracked in order ...
86
Model based estimates of the finite population mean for two stage cluster samples with unit non response
... Sample cluster mean of log(BMI) against estimated cluster response rate rate was about ...estimated cluster response rates for BMI range from 0% to 100%, and the overall sample response rate is ...
19