threshold parameter
Optimization of Gradient Threshold Parameter in Feature Preserving Anisotropic Diffusion for Image Denoising
... gradient threshold parameter also plays an important role in removing ...this parameter has been studied in ...methods parameter is also studied in ...appropriate parameter in a way ...
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Threshold Parameter for the Control of Unemployment in the Society: Mathematical Model and Analysis
... important parameter, called threshold, unemployment is said to be stable for R e < 1 (when no recruitment except active unemployed created job) and R e > 1 will also stable when there is employment ( ...
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Modeling Thesis Clarity in Student Essays
... Treating thesis clarity score prediction as a regression problem removes our need for a classification threshold parameter like the one we use in the error identification problem, but if[r] ...
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Frequentist model averaging for threshold models
... estimated threshold parameter and Case II studies models with different explanatory variables at all possible threshold ...the threshold is estimated, the coefficient estimator in each ...
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A psychometric assessment of the St. George’s respiratory questionnaire in patients with COPD using rasch model analysis
... of threshold parameter estimates of item difficulty (the right panel) on the same “logit” ...certain threshold. For example, S_a1.2 in- dicates the first threshold in which the respondents had ...
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Epidemics on random intersection graphs
... a threshold parameter R ∗ , which determines whether an epidemic with few initial infectives can become established and infect a non-negligible proportion of the population, an event we call a large ...
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Stability Analysis of a Deterministic Epidemic Model in Metapopulation Setting
... a threshold parameter: if the disease free equilibrium is locally asymptotically stable, then the disease cannot invade the population and R 0 < 1 , whereas if the ...
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Non Linear Adjustment in the MLR Condition: Evidence from Threshold Cointegration
... the threshold parameter ( 0 ...estimated threshold is almost persistent in TAR comparatively to MTAR, and that there is relatively rapid convergence in MTAR below the estimated ...the ...
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Application of K means for spectrum sensing in cognitive radio networks under fading
... K-means clustering based classification has been used as an unsupervised technique for cooperative spectrum sensing. It is a promising approach for cooperative spectrum sensing in cognitive radio networks. We quantify ...
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Diagnosis of Diabetes Using an Intelligent Approach Based on Bi-Level Dimensionality Reduction and Classification Algorithms
... the threshold parameter in feature selection using correlation criterion was set to ...When parameter T in PCA algorithm was set to ...When parameter T in PCA algorithm was set to ...
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Parasite threshold associated with clinical malaria in areas of different transmission intensities in north eastern Tanzania
... below threshold and that above the threshold, and it does not give a flexible way of choosing the threshold; for instance when a strict parasite threshold is ...slope parameter (rate of ...
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Advance Bandwidth Distribution Concept Using Artificial Intelligence
... The selection is based on the least load d Threshold Algorithm [15]: here the processors are assigned immediately upon creation to hosting two threshold parameter under and upper are use[r] ...
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Abutting Discovery Garrison Collateral Inflation using Threshold Cryptography for IP Address Allocating in Network
... This paper tryes to proposes the new method threshold cryptography which provide security for network based on IP address distribution. The new proposed security systems keep every single conceivable assault on ...
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Implications of visual attention phenomena for models of preferential choice
... absolute threshold models both decay and inhibition were allowed to ...absolute threshold models when fitting RT and choice ...the threshold and at- tention bias to vary would result in us only ...
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Straggler root cause and impact analysis for massive scale virtualized cloud datacenters
... Figure 10(a) and 10(b) depicts task progress execution over time and the generated threshold model for HiveQL and WordCount, respectively. It is observable within both job that there exists a substantial ...
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Improving Performance of Neighbor Discovery in MANET by using Threshold Value and Time Out Parameter
... So one new protocol (NPV) is to be represented in this paper, which gives a permission to any wireless nodes to continuously verify its neighbor’s position in network devoid of trusting on a priori faithful nodes. The ...
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Straggler Root-Cause and Impact Analysis for Massive-scale Virtualized Cloud Datacenters
... Furthermore, we observe that a minority of tasks are detected early within their execution, yet finish relatively close to the boundary of acceptable task completion (T iS ). This behavior highlights potential issues for ...
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A threshold method for immunological correlates of protection
... a threshold estimated by the a:b model are confidence interval width and location, goodness of fit, significance testing and relative ...of threshold point estimates and upper and lower confidence limits in ...
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Calculating The Expected Time To Seroconversion Of Hiv Infected Using Two Source Of Transmission
... The public health issues have a lot of importance in our society, particularly the Human Immunodeficiency Virus (HIV) infection. If leave HIV had become be leading cause of deaths because of increased life expectancy. ...
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A Proposal for a Configurable Silver Standard
... A threshold of 0.2 with five contributing sys- tems results in a union of all annotations. Conse- quently, this run benefits from a high recall com- pared with the other runs. However, the run ex- hibits the ...
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