[PDF] Top 20 A hierarchical network formation model
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A hierarchical network formation model
... Hierarchical networks are known as credible social structures based on observations in social sciences [8]. In particular, previous studies [5,8] have analyzed the hierarchical networks by applying ... See full document
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The Synchronizability and Optimized Analysis of the Hierarchical Network
... the Hierarchical mod- ularity [1] ...some hierarchical relationship. The network with this kinds of or- ganizational structures is called Hierarchical network which is a relatively com- ... See full document
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Hierarchical Attention Network for Image Captioning
... our model under cross entropy (XE) loss using ADAM optimizer with a learn- ing rate 5e-4 and do not finetune the ...XE-trained model, and also use the Adam ... See full document
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An Algorithm of Wireless Sensor Network Based on Free Space Optical Communication
... the hierarchical distributed control network, propose efficient FSO sensor network rout- ing protocol OEEMRP (Optical Efficient Energy Multi-path Routing ...the network. This paper introduces ... See full document
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In silico model-guided identification of transcriptional regulator targets for efficient strain design
... As mentioned earlier, h-BeReTa utilizes an uninte- grated approach which treats the cellular metabolism and regulation as two modules in the framework and then combines them systematically as previously pro- posed in ... See full document
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Energy Efficient Hierarchy based Clustering Routing Protocol for Wireless Sensor Networks
... form hierarchical clustering ...prolongs network life-time. Different phases in this model of system are (I) Cluster formation by electing cluster head (CH), (II) Hierarchical tree ... See full document
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Multiresolution neural networks for image edge detection and restoration
... In chapter 4, an edge detection scheme was detailed, based on the multiresolution model outlined in chapter 2 and was implemented using the proposed hierarchical Hopfield neural network.[r] ... See full document
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Sleep Deprivation Attack Detection in Wireless Sensor Network
... sensor network in hostile environment makes it mainly vulnerable to battery drainage attacks because it is impossible to recharge or replace the battery power of sensor ...a model for detecting intrusions ... See full document
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Specification and Estimation of Network Formation and Network Interaction Models with the Exponential Probability Distribution
... both network formation and network interactions under a uni- fied framework is twofold: first, one can evaluate the importance of individuals’ incentives stemming from economic activity interactions ... See full document
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Discourse Parsing with Attention based Hierarchical Neural Networks
... The representation of a sequence computed by bi- LSTMs is always a vector with fixed dimension de- spite the length of the sequence. Thus when dealing with a text span with hundreds of EDUs, bi-LSTM may not be enough to ... See full document
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Characterizing and Modeling the Structure of Competition Networks
... theoretical model to predict the structural ...as hierarchical modular- ity, degree correlation and self-similarity, which have been demonstrated to be fundamental and significant for dynamic processes ... See full document
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A data oriented framework for developing flexible information systems
... data model oriented framework for the development of fl exible information ...in- formation systems the paper discusses the defi nition of major elements of logical data model (enti- ties and their ... See full document
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DeepCopy: Grounded Response Generation with Hierarchical Pointer Networks
... Although much research has focused on re- sponse generation in a chit-chat setting, models trained on large datasets of human-human interac- tions of diverse speaker characteristics often tend to generate responses which ... See full document
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Semantically aware hierarchical Bayesian network model for knowledge discovery in data : an ontology based framework
... SAHBN model proposed in this thesis used the “is-a” relation enriched by the true path rule (TPR) to generate the values of the semantically related ...their model was tested using 20,000 product reviews ... See full document
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Incremental Hierarchical Fuzzy Model Generated from Multilevel Fuzzy Support Vector Regression Network
... FSVRN model and Jang’s ANFIS model [21] with 400 training data are listed in Table ...proposed model. The testing RMSE of Jang’s ANFIS model is biggest among these three models because it ... See full document
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A Multi-objective Hierarchical Location-allocation Model for the Healthcare Network Design Considering a Referral System
... facilities network design with capacity planning for facilities of the network including patients zones, family physician centers, specialized clinics, specialized hospitals, super specialty clinics and ... See full document
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Buffer dimensioning of dtn replication-based routing nodes with hierarchical routing scheme
... DTN Hierarchical Routing (DHR) in a simplified DTN model where nodes have strict repetitive ...a hierarchical network which provides a compressed time-space topology abstraction of the ... See full document
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Initializing neural networks for hierarchical multi label text classification
... a hierarchical structure (such as a ...for hierarchical multi-label text classification that initializes a neural network model final hidden layer such that it leverages label co-occurrence ... See full document
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Fitness model for the Italian interbank money market
... the formation of communities in a particular financial ...a model of network growth we can determine the formation of different group of banks characterized by different business ...The ... See full document
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Detecting context abusiveness using hierarchical deep learning
... detection model has its own predictive power and ...C-LSTM network, when a sentence is short, it can capture both word se- quence and order information ...loss. Hierarchical C-LSTM network can ... See full document
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