weighted average of data
A weighted average difference method for detecting differentially expressed genes from microarray data
... the weighted average difference method (WAD), for ranking ...the average difference and relative average signal intensity so that highly expressed genes are highly ranked on the average ...
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User’s Gender Prediction Based on Smartphone Applications Installed: Analysis from Real World Data to Simulation
... construct weighted average female-oriented and male-oriented features, and applying it to four machine learning ...for weighted average logistic regression ...
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WEIGHTED AVERAGE ANALYSIS APPROACH FOR HAND GESTURE RECOGNITION USING ANN
... Thinning is a operation that is used to remove selected foreground pixels from binary images. In this object is converted into the set of digital arcs. These arcs are lying roughly along the medial axis. That is it will ...
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Induced intuitionistic fuzzy ordered weighted averaging - weighted average operator and its application to business decision-making
... the data or preferences given by the experts may be appropriately expressed in ...express data information under various different fuzzy environments which has attracted great attentions ...
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MOBILE SINK BASED RELIABLE AND ENERGY EFFICIENT DATA GATHERING TECHNIQUE FOR WSN
... In the picture above explains that the production process of herb medicine aladina wich start from the mixing department to the packing department. In the mixing department, there will be the mixing process of raw ...
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A chironomid-based mean July temperature inference model from the south-east margin of the Tibetan Plateau, China
... calibration data set. The second component of the weighted-average partial least squares (WA-PLS) model pro- duced a coefficient of determination (r bootstrap 2 ) of ...
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Image Segmentation using Weighted Average Local Histogram
... given data set through a certain number of K clusters that known as ...input data iteratively, where the elements of the data are exchanged between clusters based on a predefined metric (typically ...
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Image Pair Fusion using Weighted Average Method
... multispectral data from different sensors often present complementary information about the region surveyed, scene or ...such data, as the fused image facilitates improved detection and unambiguous ...
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A weighted average framework for evaluating the quality of Web-located health information
... confidentiality statement especially when patient data is being presented. Indeed, not only could this feature be considered indicative of quality, but one of ethics. Moreover, there also appears to be a legal ...
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Animal production. Livestock; Breeding herd size; Meat production; Civil year balance sheets. 1968-1977. 1978
... Not otherwise specified Donnée nouvelle ou révisée r New or revised data Moyenne M/Ø Average Moyenne pondérée MP/ØP Weighted average Pourcentage Percentage % Pourcentage de variation % A[r] ...
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Cohen's linearly weighted kappa is a weighted average of 2x2 kappas
... the data in Table 1. This table contains the relative frequencies of data presented in Landis and Koch (1977) and originally reported by Holmquist, McMahon, and Williams (1968) (see also Agresti, 1990, ...
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A STUDY ON POLICY HOLDERS AWARENESS AND PREFERENCE TOWARDS HEALTH INSURANCE V. Sini* & Dr. C. R. Karpagam**
... tests, weighted average were used as tools to analyse the data and the conclusion is that the respondents are neutral about tax benefit, risk coverage & saving, security with high return which ...
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Some are more equal than others: new estimates of global and regional inequality Bruegel Working Paper Issue 8, 8 November 2016
... WEO data using data from World Bank World Economic Indicators database and the Maddison ...IMF data is at current prices, while many researchers calculating global Gini coefficients used constant ...
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A Genetic Algorithm with Weighted Average Normally Distributed Arithmetic Crossover and Twinkling
... The objective of this paper is to explore the possibilities of incorporating twinkling within genetic algorithms. Thiswork is divided as follows. Section 2 explains the twinkling paradigm, anda brief overview of the ...
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Cohen's kappa is a weighted average
... Originally proposed as a measure of agreement between two observers who each rate the same sample of objects (individuals, observations) on a nom- inal (unordered) scale with the same number of n categories, κ has been ...
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Three essays on momentum returns
... Thirdly, this study employs the methodology of both Arena et al. (2008) and McLean (2010) to test the robustness of the relationship between IV and momentum returns with different methods of estimating IV and number of ...
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Model for assessment of pollutant emissions from road transport on national roads of the Republic of Serbia
... Access to the COPERT 5 model implies that the following information are entered for the vehicle: vehicle type, vehicle speed (km / h), primary fuel consumption (TJ), primary fuel content (MJ / kg), fuel mixture used, in ...
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FINANCING SELECTION METHOD IN DISCIPLINE EVALUATION USING A WEIGHTED INDUCED MODEL
... ILWIOWA weighted average (ILWIOWAWA) operator is an integrated method that combines the key advantages of the WIOWA and weighted average to aggregate the IL ...
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An Adaptive Weighted Average (WAV) Reprojection Algorithm for Image Denoising
... Khan and El-Sekka proposed the NLM using Weight Thresholding [21]. Their method is performed as a two-step approach. The basic estimate is generated in the first step by thresholding the weights of the pixels within the ...
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1. A novel approach to reduce the noise of time series data using predictive weighted moving average
... moving average method are not only for smoothing the series rather to calculate the long term fluctuation of the ...moving average method, the time series must have a rhythmic pattern and should not contain ...
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