0000000000253371

AUTHOR

Guido Kraemer

0000-0003-4865-5041

showing 3 related works from this author

The Low Dimensionality of Development

2020

AbstractThe World Bank routinely publishes over 1500 “World Development Indicators” to track the socioeconomic development at the country level. A range of indices has been proposed to interpret this information. For instance, the “Human Development Index” was designed to specifically capture development in terms of life expectancy, education, and standard of living. However, the general question which independent dimensions are essential to capture all aspects of development still remains open. Using a nonlinear dimensionality reduction approach we aim to extract the core dimensions of development in a highly efficient way. We find that more than 90% of variance in the WDIs can be represen…

education.field_of_study010504 meteorology & atmospheric sciencesSociology and Political Science05 social sciencesPopulation1. No povertyGeneral Social SciencesSocioeconomic developmentVariance (accounting)Standard of livingWorld Development Indicators01 natural sciencesArts and Humanities (miscellaneous)8. Economic growth0502 economics and businessDevelopmental and Educational PsychologyEconometricsEconomicsHuman Development Index050207 economicsDimension (data warehouse)educationInternational developmentInstitute for Management Research0105 earth and related environmental sciences
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ChemInform Abstract: Transformation of Hydroxycycloalkanones to Oxabicycloalkenes.

2010

Chemical engineeringChemistryGeneral MedicineTransformation (music)ChemInform
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Discovering Differential Equations from Earth Observation Data

2020

Modeling and understanding the Earth system is a constant and challenging scientific endeavour. When a clear mechanistic model is unavailable, complex or uncertain, learning from data can be an alternative. While machine learning has provided excellent methods for detection and retrieval, understanding the governing equations of the system from observational data seems an elusive problem. In this paper we introduce sparse regression to uncover a set of governing equations in the form of a system of ordinary differential equations (ODEs). The presented method is used to explicitly describe variable relations by identifying the most expressive and simplest ODEs explaining data to model releva…

0301 basic medicineEarth observationTheoretical computer scienceComputer scienceDifferential equationOde020206 networking & telecommunications02 engineering and technologyData modeling03 medical and health sciences030104 developmental biologyOrdinary differential equation0202 electrical engineering electronic engineering information engineeringConstant (mathematics)Variable (mathematics)IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
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