• No results found

network structure

Optimizing dynamical network structure for pinning control

Optimizing dynamical network structure for pinning control

... a network from any initial state to a final desired state has many applications in different disciplines from engineering to biology and social ...the network structure for pinning ...

14

Malmquist Productivity Index with Dynamic Network Structure

Malmquist Productivity Index with Dynamic Network Structure

... The rest of this paper unfolds as follows. In section2, we describe mathematical formulations of dynamic and network DEA model. Malmquist index with dynamic network structure is introduced in ...

11

Risk sharing and probabilistic network structure

Risk sharing and probabilistic network structure

... starting network structure on the nal optimal agents` ...a network analysis approach we see that the negative impact of the peers was usually represented by their risk of default and its related ...

31

Aggregate fluctuations and the network structure of intersectoral trade

Aggregate fluctuations and the network structure of intersectoral trade

... the network structure of ...order network features isolated above in the simplest multisector setup ...the network structure of intersectoral ...

58

Integrating stochasticity and network structure into an epidemic model

Integrating stochasticity and network structure into an epidemic model

... Conversion of the integer-based stochastic pairwise model to its stochastic diffusion approximation should in principle be relatively straightforward, adding a scaled Gaussian noise term for each event that can occur. ...

16

The Network Structure of Supreme Court Jurisprudence »

The Network Structure of Supreme Court Jurisprudence »

... giant network containing textual information embedded in cases (nodes) and relationship information called citations (arcs) going from node to ...legal network, until recently there has been little done to ...

26

Network Structure and Topology based Routing Techniques in Wireless Sensor Network  A survey

Network Structure and Topology based Routing Techniques in Wireless Sensor Network A survey

... Sensor Network has always been important area of exploration due to change in demands of various applications such as Area monitoring, Environmental/Earth monitoring, passive localization and tracking, Industrial ...

6

Evolving network structure of academic institutions

Evolving network structure of academic institutions

... a network is mathematically represented by a graph – a collection of nodes and the edges connecting them (Boccaletti et ...of network science approaches are widespread, ranging from under- standing ...

13

The Network Structure Of Collective Innovation

The Network Structure Of Collective Innovation

... the network and exploring new options, which are risky and uncertain, but offer the possibility for breakthroughs that improve the entire group (Gupta et ...the network structure is a central ...

93

Visualizing the Alliance Network Structure of Service Industries

Visualizing the Alliance Network Structure of Service Industries

... the structure of interfirm value ...alliance network structure of each service industry individually and differentiate the nature of collaboration using an exploration/coopetition ...alliance ...

10

Bayesian Network Structure Learning by Recursive Autonomy Identification

Bayesian Network Structure Learning by Recursive Autonomy Identification

... ian network structure learning. The RAI algorithm learns the structure by sequential application of conditional independence (CI) tests, edge direction and structure decomposition into ...

44

Learning Network Structure from Passive Measurements

Learning Network Structure from Passive Measurements

... discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable ...date, network discovery has been based on ...

6

A New Neural Network Structure: Node to Node Link Neural Network

A New Neural Network Structure: Node to Node Link Neural Network

... specific structure, a neural network can realize a learning process ...the network structure and defin- ing the learning ...The structure of the neural net-work affects the ...

11

Should network structure matter in agent based finance?

Should network structure matter in agent based finance?

... the network is sufficient to destroy correlations in the model, we have also hinted at the possibility that a hierarchical structure could overcome the problem of N-dependence irrespective of the ...

38

The Stability of Banking System Based on Network Structure: An Overview

The Stability of Banking System Based on Network Structure: An Overview

... ring network structure (any node in the network is connected only to the other two nodes, and forms a ring), the study revealed that contagion of bank’s default depend on the parameters set by the ...

10

Insights from Network Structure for Text Mining

Insights from Network Structure for Text Mining

... mantic network graph structure induced over the text of the web and other sources by the semantic rela- tions people use in ...and network size, we show, some- what surprisingly, that the same ...

10

Complex Networks: Traffic Dynamics, Network Performance, and Network Structure

Complex Networks: Traffic Dynamics, Network Performance, and Network Structure

... and network structure, but is independent of queuing ...SF network has the highest packet loss under the same incoming traffic because large amount of traffic have to pass through a few con- gested ...

9

Studies on fibrin network structure

Studies on fibrin network structure

... 8.2 Scanning electron micrographs of fibrin networks formed in plasma and in purified fibrinogen solutions 154 The µT and µ 0 of networks in PFP and reconstituted sera 155 The effect of [r] ...

263

The Impact of Operational Events on the Network Structure of the LVTS

The Impact of Operational Events on the Network Structure of the LVTS

... a network approach obscures. This serves as a reminder that network analysis can be a blunt tool, possibly better suited for detecting systemic effects or major developments in how participants interact ...

30

Quasi-pseudolikelihood in Markov network structure learning

Quasi-pseudolikelihood in Markov network structure learning

... components: structure learn- ing and parameter estimation, where by structure learning we mean learning the depen- dencies between the variables in a given ...dependence structure fully known in ...

95

Show all 10000 documents...

Related subjects