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large-scale network models

Latent feature models for large-scale link prediction

Latent feature models for large-scale link prediction

... of network data ...statistical network anal- ysis has attracted a great deal of ...a network, it is very useful to answer the query that: which new interactions among entities are likely to occur ...

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Decoding with Large Scale Neural Language Models Improves Translation

Decoding with Large Scale Neural Language Models Improves Translation

... We introduced a new variant of NPLMs that com- bines the network architecture of Bengio et al. (2003), rectified linear units (Nair and Hinton, 2010), and noise-contrastive estimation (Gutmann and Hyv¨arinen, ...

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EFFICIENT DETECTION IN DDOS ATTACK FOR TOPOLOGY GRAPH DEPENDENT PERFORMANCE IN PPM LARGE SCALE IPTRACEBACK

EFFICIENT DETECTION IN DDOS ATTACK FOR TOPOLOGY GRAPH DEPENDENT PERFORMANCE IN PPM LARGE SCALE IPTRACEBACK

... the network path taken by the attack traffic - hence identifying its ...the large amount of research in this area, the influence of the underlying topology on the performance of PPM-based schemes remains an ...

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Modeling of Protein Structural Flexibility and Large-Scale Dynamics: Coarse-grained Simulations and Elastic Network Models

Modeling of Protein Structural Flexibility and Large-Scale Dynamics: Coarse-grained Simulations and Elastic Network Models

... SURPASS models is not trivial, although, as tested on a large set of globular structures, it is possible and does not create drastic inaccuracy of the resulting atomistic ...relatively large ...

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Analysis of Malware Propagation in Large Scale Network

Analysis of Malware Propagation in Large Scale Network

... . In order to understand the propagation behaviour of smart phone malware, recall generic epidemic models as a foundation for further exploration, then survey the smart phone malware propagation models. In ...

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Detection and Prevention of Botnets and Malware in Large Scale Network Topology

Detection and Prevention of Botnets and Malware in Large Scale Network Topology

... everywhere scale arranges the answer for this issue is frantically wanted by digital safeguards as the system security group does not yet have strong ...huge scale systems, for instance, spaces of the ...

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Solution Procedures for Logistics Network Models with Economies of Scale

Solution Procedures for Logistics Network Models with Economies of Scale

... for large scale facility location problems that include non-linear costs that can represent risk pooling and/or production economies of scale are ...a large test bed of problems was developed, ...

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Aggregation algorithm towards large-scale Boolean network analysis

Aggregation algorithm towards large-scale Boolean network analysis

... mathematical models have been proposed in the literature to study biological networks, including ge- netic regulatory networks ...a large number of nodes in the ...continuous models given in the form ...

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Analysis of Memory Performance and Execution Models for Large-Scale Manycores.

Analysis of Memory Performance and Execution Models for Large-Scale Manycores.

... Platforms consisting of many computing cores have become mainstream in scientific comput- ing/high performance computing, but present a technological challenge to others like real-time embedded systems. While they ...

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The application of DEA and queuing models to large scale computer networks

The application of DEA and queuing models to large scale computer networks

... overall network eciency and target setting through the study of the relative eciency levels of its main constituent parts ...A network node may be thought of as a semiautonomous processing unit that accepts ...

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Malware Distribution in Large Scale Network

Malware Distribution in Large Scale Network

... the network security community does not yet have solid ...epidemic models, the proposed model represents malware propagation better in large-scale ...epidemic models, the proposed model ...

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A Study on Large Scale Network Simulators

A Study on Large Scale Network Simulators

... purpose Network Simulator (NS) developed at University of California, Berkeley, is a discrete event simulator targeted at networking ...the network topology, protocols, workload and control ...a ...

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Situation prediction of large-scale Internet of Things network security

Situation prediction of large-scale Internet of Things network security

... Table 10 shows that when the log data level is less than 50,000, the single-machine processing capability is better than the processing power of the Hadoop cluster. But as the growth of the log magnitude cluster around ...

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Reinforcement learning in a large-scale photonic recurrent neural network

Reinforcement learning in a large-scale photonic recurrent neural network

... As employed by the machine learning community, NNs con- sist of a large number of nonlinear nodes interacting with each other. Evolving the NNs’ state requires performing vector-matrix products with possibly ...

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Performance Analysis of ZigBee Protocol in the Large Scale Network Topologies

Performance Analysis of ZigBee Protocol in the Large Scale Network Topologies

... test network structure for star topology that has a ZC in the center and the ZEDs on the ...all network traffic is interrupted because all traffic travel passed through the ...a large scale ...

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WikiNet: A Very Large Scale Multi-Lingual Concept Network

WikiNet: A Very Large Scale Multi-Lingual Concept Network

... a large repository of relations – mirrors Word- Net, which has been intensely used for almost two decades, and with which the NLP community is very much accus- ...

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Simulation and control techniques for nonlinear rational expectation models

Simulation and control techniques for nonlinear rational expectation models

... of models and include Artis et aL (1984, HMT and NIESR models), Saville and Gardiner (1986, NIESR), Matthews and Minford (1987, LPL) and Mackie et aL (1989, ...these models are available ...

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Large scale Expected BLEU Training of Phrase based Reordering Models

Large scale Expected BLEU Training of Phrase based Reordering Models

... Recent work by Cherry (2013) has shown that directly optimizing phrase-based re- ordering models towards BLEU can lead to significant gains. Their approach is lim- ited to small training sets of a few thou- sand ...

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Lexicographic All Circuits Enumeration in Large Scale Macro-econometric Models

Lexicographic All Circuits Enumeration in Large Scale Macro-econometric Models

... Abstract —This contribution is deliberately application-oriented. Conversely, the considered application introduces new circumstances and helpful designs for the graph techniques and interpreta- tions. This study seeks ...

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Gravity model parameter calibration for large scale strategic transport models

Gravity model parameter calibration for large scale strategic transport models

... This study considers the calibration of the lognormal cost function parameters within the simultaneous gravity model for large scale strategic transport models. The parameters are calibrated based on ...

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