Within Response Variables with Backward Elimination
Backward elimination methods for associated memory network pruning
... proposed backward elimination approaches were applied separately to a full linear regression model with ten input variables to predict the response, with = 5 5 5 5 , = 5 5 5 5 and 5 6 , to ...
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A variance inflation factor and backward elimination based robust regression model for forecasting monthly electricity demand using climatic variables
... climatic variables for prediction of electricity demand is critical as it affects the accuracy of the ...climatic variables may have different impacts on the electricity demand due to the varying ...
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Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination
... the response given the rest of the ...original variables with the relevance of random, artificial features (appended to the original data) constructed from the same distribution, but independently from the ...
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The Chicken or the Egg:Exploring Prediction Models for Dysfunctional Schemas, Mental Distress and Wellbeing by Backward Elimination
... procedure started. Further, not less important, working with these prediction models can lead to an increase in clients’ quality of life eventually. It is advised to consider the study's outcomes within the ...
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Backward feature elimination and missing values ratio techniques for dimensionality reduction in data mining
... During this research in data mining, I used decision trees where it used either as a part of the selection criteria, or to support the use and selection of specific data within the overall structure. Within ...
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Multiple Fractional Response Variables with Continuous Endogenous Explanatory Variables
... As to single fractional responses, it is true that the OLS estimator or the IV esti- mator of a linear model are consistent even though they ignore the bounded nature. They, however, do not guarantee that their fitted ...
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Pythagorean Formula in Baseball: Creation of a Better Model Using Backward Elimination Stepwise Regression Analysis
... a backward elimination regression analysis can produce a better and more accurate formula to predict wins using additional ...more variables than Bill James’ Pythagorean ...
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Disentangling stimulus and response compatibility as potential sources of backward crosstalk
... of backward crosstalk effects in dual ...task within a dual-task paradigm by assigning stimulus-response (S-R) rules to the ...the backward crosstalk effect was mainly driven by a ...
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Surveillance-response systems : the key to elimination of tropical diseases
... eventual elimination of several tropical diseases by 2020, providing an impetus for local and regional disease elimination ...on elimination of tropical diseases, the ‘First Forum on ...
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Surveillance-response systems: the key to elimination of tropical diseases
... eventual elimination of several tropical diseases by 2020, providing an impetus for local and regional disease elimination ...on elimination of tropical diseases, the ‘ First Forum on ...
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Primary response of pavement variation with construction variables
... Methodology In this study, the vertical load applied to the surface is uniformly over a circular area with a diameter measuring 0.3m, leading to an axial symmetric problem. Two dimensions of pavement systems need to be ...
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Towards elimination of maternal deaths: maternal deaths surveillance and response
... Current methods in many developing countries use large- scale periodic surveys (national censuses, Demographic and Health Surveys, Multiple Indicator Cluster Surveys, etc.), which are expensive and data are retrospective ...
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Weather and Crops. The key atmospheric variables that impact crops are. Crop Response to Weather Variables
... are within the absolute and optimum temperature ...temperatures within the optimum tempera- ture range approximately one week earlier in the spring and one week later in the fall than the north region and ...
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LAD Regression for Detecting Outliers in Response and Explanatory Variables
... properties within Gaussian parametric models, it is recognized that outliers, which arise from heavy-tailed distributions, have an unusually large influence on the resulting ...
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Hail Variability in Supercell Storms and Response to Environmental Variables
... Supercell storms were also required to be within ~125 km of a WSR-88D to ensure high quality polarimetric data for several reasons. Beam filling influences weather radar data quality, especially with increases in ...
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Financial Liberalisation and Political Variables: a response to Abiad and Mody
... domestically within a given polity or internationally in terms of broader world opinion about such ...political variables might play in shaping financial liberalization, we find that examples of these ...
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Lung lymphocyte elimination by apoptosis in the murine response to intratracheal particulate antigen
... assessed within intact ...the response to intratra- cheal challenge with the particulate, T cell-dependent Ag sheep red blood cells (SRBC) ...immune response is characterized by peribronchovascular ...
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Response of Nigeria’s Agricultural Sector to Selected Macroeconomics Policy Variables
... The fundamental objectives of macroeconomic policy in Nigeria are economic growth and development, price stability, self reliance and social equity. However, it was evident by 1981 that the above objectives could not be ...
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EFFECTIVENESS OF MASS POLIO CAMPAIGNS IN THE GLOBAL RESPONSE TO POLIO ERADICATION/ELIMINATION IN AFRICA
... Three articles that were reviewed investigated the effectiveness of Injectable Polio Vaccine(IPV) and the OPV used in mass campaigns, in a study by Shuaibu etal 2015,OPV coverage in the two districts of Borno and Yabe ...
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Source to Source Refactoring and Elimination of Global Variables in C Programs
... global variables can create mutual dependencies and untracked interactions between different program components caus- ing an irregularity, called action at a distance in software ...global variables in ...
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