LightGBM: A Highly Efficient Gradient Boosting Decision Tree
Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm, and has quite a few effective implementations such as XGBoost and pGBRT. Although many engineerin...
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Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm, and has quite a few effective implementations such as XGBoost and pGBRT. Although many engineerin...
Abstract A DTPA soil test was developed to identify near‐neutral and calcareous soils with insufficient available Zn, Fe, Mn, or Cu for maximum yields of crops. The extractant c...
Examines how external constraints affect organizations and how to design and manage organizations under such constraints. Taking a resource dependence perspective on organizatio...
Donoho and Johnstone (1994) proposed a method for reconstructing an unknown function f on [0,1] from noisy data d/sub i/=f(t/sub i/)+/spl sigma/z/sub i/, i=0, ..., n-1,t/sub i/=...
Este trabajo de grado, contextualiza y caracteriza la población objeto de estudio en el marco del post- conflicto, brindando un diagnostico a traves de la aplicación de instrume...
Over the last three decades, the French sociologist Pierre Bourdieu has produced one of the most imaginative and subtle bodies of social theory and research of the post war era....
This article reviews the current status of lattice-dynamical calculations in\ncrystals, using density-functional perturbation theory, with emphasis on the\nplane-wave pseudo-pot...
This paper shows that bank deposit contracts can provide allocations superior to those of exchange markets, offering an explanation of how banks subject to runs can attract depo...
This article discusses: the doctrinal content of the group of ideas known as ‘new public management’(NPM); the intellectual provenance of those ideas; explanations for their app...