selection method
Threshold selection method for UWB TOA estimation based on wavelet decomposition and kurtosis analysis
... (ED) method with low sampling rate and low complexity is widely ...threshold selection method for time of arrival (TOA) estimation is proposed that analyzes the signals in both time domain and ...
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Acquiring Judges by the Merit Selection Method: The Case for Adopting Such a Method
... Acquiring Judges by the Merit Selection Method The Case for Adopting Such a Method SMU Law Review Volume 40 Issue 6 Special Issue Article 5 1986 Acquiring Judges by the Merit Selection Method The Case[.] ...
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A multiband RF signal sampling frequency selection method based on cylindrical surface spectrum analysis
... frequency selection is a key issue in direct digitalization of the radio frequency (RF) ...frequency selection method for multiband RF signals. In this method, a 3D visual expression of ...
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Feature selection method for offline signature verification
... Cp criterion. In which case, best feature subsets of different dimensions will be identified for every user. Then, the best subset that have Cp value nearest to p (number of regression coefficient) were selected. Lastly, ...
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A Constructive Meta-Level Feature Selection Method based on Method Repositories
... Feature selection is one of the key procedures to get a better result from the data mining process. However, it is difficult to determine the relevant feature subset before the mining procedure. At practical data ...
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Comparative study of feature selection method of microarray data for gene classification
... of selection and classification techniques that has already been studied and developed to help in better classification of microarray ...gene selection and PNN ...gene selection since this technique ...
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A sensor selection method for fault diagnostics
... A few future research avenues could be explored. Firstly, the methodology needs to be tested on larger systems to check its applicability and the model scala- bility. This will require the performance metric cal- ...
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A User Selection Method in Advertising System
... Traditional method is sending advertising messages to all mobile ...a method to find potential customers who are likely to accept the ...This method searchs the maximum frequent itemsets which ...
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Nowcasting with Google Trends : a keyword selection method
... third method, the “backward induction method” is ...this method should not be considered as the panacea to the keyword selection problem as it should be used in addition to the methods ...
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Clonal Selection Method for Virus Detection in a Cloud
... Abstract— The biological immune system (BIS) is to protect the human body against attack from the antigen such as virus, bacteria, fungi and other parasites and eliminates it from the infected cells. Artificial Immune ...
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Design, Development And Test KR-150 Go-Kart
... LIST OF TABLES 3.1 Pugh’s concept selection method 34 3.2 Steering system concept selection 36 3.3 Chassis concept selection 37 3.4 Brakes Disc System concept selection 38 3.5 Suspension[r] ...
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Feature Selection for Fluency Ranking
... correlation-based selection method fares bet- ter than the frequency-based method without over- lap ...correlation-based method does not achieve good accuracy as quickly as the maximum entropy ...
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DEVELOPMENT OF A MODIFIED CLONAL SELECTION ALGORITHM FOR FEATURE LEVEL FUSION OF MULTIBIOMETRIC SYSTEMS
... proportional selection method used in the standard clonal selection algorithm (CSA) usually introduces a bias in the beginning of the search which leads to high selection pressure, loss of ...
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Penalized Poisson Regression Model Using Elastic Net and Least Absolute Shrinkage and Selection Operator (Lasso) Penality
... Variable selection in count data using Penalized Poisson regression is one of the challenges in applying Poisson regression model when the explanatory variables are ...variable selection simultaneously, ...
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A SPECTRUM SELECTION FRAMEWORK FOR MOBILITY MANAGEMENT IN COGNITIVE RADIO CELLULAR NETWORK
... spectral selection method was proposed for CR spectral selection, And it provide the opportunities to improve user experience & increase network ...
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RADAR Image Fusion Using Wavelet Transform
... The Selection method is also one of the trivial methods of image ...averaging method, instead of averaging every corresponding pixel, a selection process if performed ...of selection is ...
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On Suitable Copula Selection with Copula Garch Method
... In this paper, we investigated the structure of dependence between Dollar, Euro and Sterling and the data was gotten from Central Bank of the Republic of Turkey. We used Copula- GARCH approach. Primarily, we form the ...
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Privacy Preserving Q-learning in the Analog Model for Secure Multiparty Computation
... that SMC’s idea of distributing learning data among multiple servers is one method to realize this [3], [4]. As for SMC, many methods of learning by sharing learning data into partial subsets have been proposed ...
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Computational identification of deleterious synonymous variants in human genomes using a feature-based approach
... Splicing features were described by 46 values, where 15 of them were obtained from SilVA [10], and the remaining 31 values were annotated by Skippy [20] and SPIDEX [16]. The conservation features were ex- tracted by ...
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The Adaptive Lasso Method for Instrumental Variable Selection.
... stage selection the conventional TSLS or LIML method is ...variable selection (the number of strong instruments is at least equal to the number of endogenous ...variable selection results in ...
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