Davidson > Regression

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7Density-based weighting for imbalanced regression
M. Steininger, K. Kobs, P. Davidson, A. Krause, and A. Hotho. Machine Learning, 110 (8): 2187-2211 (2021)
3 years ago by @annakrause
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research:imbalanced:selected
myown
imbalanced
research:imbalanced
regression
climate
density
research:imbalanced:selectedmyownimbalancedresearch:imbalancedregressionclimatedensity
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7Density-based weighting for imbalanced regression
M. Steininger, K. Kobs, P. Davidson, A. Krause, and A. Hotho. Machine Learning, (2021)
3 years ago by @hotho
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myown
imbalanced
data
regression
density
2021
cv1
selected
myownimbalanceddataregressiondensity2021cv1selected
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7Density-based weighting for imbalanced regression
M. Steininger, K. Kobs, P. Davidson, A. Krause, and A. Hotho. Machine Learning, (2021)
3 years ago by @dmir
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app_eco
myown
author:davidson
imbalanced
author:krause
author:steininger
density
core-ml
author:kobs
regression
research_imbalanced_data
author:KRAUSE
author:hotho
from:msteininger
selected
app_ecomyownauthor:davidsonimbalancedauthor:krauseauthor:steiningerdensitycore-mlauthor:kobsregressionresearch_imbalanced_dataauthor:KRAUSEauthor:hothofrom:msteiningerselected
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7Density-based weighting for imbalanced regression
M. Steininger, K. Kobs, P. Davidson, A. Krause, and A. Hotho. Machine Learning, 110 (8): 2187-2211 (2021)
3 years ago by @msteininger
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myown
imbalanced
regression
accepted
density
myownimbalancedregressionaccepteddensity
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12OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning
F. Lautenschlager, M. Becker, K. Kobs, M. Steininger, P. Davidson, A. Krause, and A. Hotho. Atmospheric Environment, (2020)
5 years ago by @becker
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automl
project:bmbf
myown
use
everyaware
air
lur
quality
eva
optimization
bayes
regression
land
open
automlproject:bmbfmyownuseeveryawareairlurqualityevaoptimizationbayesregressionlandopen
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1Econometric theory
{. Davidson. Blackwell Publ., Oxford u.a., 1. publ edition, (2000)
15 years ago by @fbw_hannover
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Zeitreihenanalyse
Schätztheorie
Ökonometrisches_Modell
Kointegration
Theorie
Regression
Ökonometrie
Econometrics
Regression_analysis
Methoden_und_Techniken_der_Volkswirtschaft
ZeitreihenanalyseSchätztheorieÖkonometrisches_ModellKointegrationTheorieRegressionÖkonometrieEconometricsRegression_analysisMethoden_und_Techniken_der_Volkswirtschaft
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1Symbolic and numerical regression: experiments and applications
J. Davidson, D. Savic, and G. Walters. Developments in Soft Computing, page 175--182. De Montfort University, Leicester, UK, Physica Verlag, (29-30 June 2000. 2001)
17 years ago by @brazovayeye
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genetic
regression,
algorithms,
symbolic
programming,
regression
stepwise
rule-based
least-squares,
geneticregression,algorithms,symbolicprogramming,regressionstepwiserule-basedleast-squares,
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1Symbolic and numerical regression: a hybrid technique for polynomial approximators
J. Davidson, D. Savic, and G. Walters. Proceedings of Recent Advances in Soft Computing'99, page 111--116. De Montfort University, Leicester, UK, Physica Verlag, (1-2 July 1999)
17 years ago by @brazovayeye
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algebra,
expressions,
genetic
polynomial
algorithms,
symbolic
programming,
regression
least
squares,
algebra,expressions,geneticpolynomialalgorithms,symbolicprogramming,regressionleastsquares,
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1Symbolic and numerical regression: Experiments and applications
J. Davidson, D. Savic, and G. Walters. Information Sciences, 150 (1-2): 95--117 (2003)
17 years ago by @brazovayeye
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Stepwise
genetic
regression,
algorithms,
Least
programming,
regression
Symbolic
Rule-based
squares,
Stepwisegeneticregression,algorithms,Leastprogramming,regressionSymbolicRule-basedsquares,
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1Method for the identification of explicit polynomial formulae for the friction in turbulent pipe flow
J. Davidson, D. Savic, and G. Walters. Journal of Hydroinformatics, 1 (2): 115--126 (1999)
17 years ago by @brazovayeye
show all tags
algebra,
expressions,
genetic
polynomial
algorithms,
symbolic
programming,
regression
least
squares,
algebra,expressions,geneticpolynomialalgorithms,symbolicprogramming,regressionleastsquares,
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1Bootstrap J tests of nonnested linear regression models
R. Davidson, and J. MacKinnon. Journal of Econometrics, 109 (1): 167--193 (July 2002)
17 years ago by @smicha
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regression
Linear
regressionLinear
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publications (hide)11
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7Density-based weighting for imbalanced regression

7Density-based weighting for imbalanced regression

7Density-based weighting for imbalanced regression

7Density-based weighting for imbalanced regression

12OpenLUR: Off-the-shelf air pollution modeling with open features and machine learning

1Econometric theory

1Symbolic and numerical regression: experiments and applications

1Symbolic and numerical regression: a hybrid technique for polynomial approximators

1Symbolic and numerical regression: Experiments and applications

1Method for the identification of explicit polynomial formulae for the friction in turbulent pipe flow

1Bootstrap J tests of nonnested linear regression models

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