Hochschulschrift
Reliable on-line machine learning for regression tasks in presence of uncertainties
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Dimensions
-
30 cm
- Extent
-
XVI, 136 S.
- Language
-
Englisch
- Notes
-
graph. Darst.
Osnabrück, Univ., Diss., 2014
- Creator
-
Buschermöhle, Andreas
- Table of contents
- Rights
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
-
11.03.2025, 12:28 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Buschermöhle, Andreas
Other Objects (12)
Factorisable Multi-Task Quantile Regression
Factorisable multi-task quantile regression
Reliable data streams in the presence of external interference
Application of fuzzy finite element method in addressing the presence of uncertainties
Additive Nonparametric Regression in the Presence of Endogenous Regressors
Generating reliable tourist accommodation statistics: Bootstrapping regression model for overdispersed long-tailed data
Generating reliable tourist accommodation statistics: Bootstrapping regression model for overdispersed long-tailed data
Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust
Neuromechanics of Dynamic Balance Tasks in the Presence of Perturbations
Algorithms for scalable on-line machine learning on regression tasks
Uncertainties in Chemistry
Nonparametric Kernel and Regression Spline Estimation in the Presence of Measurement Error
Factorisable Multi-Task Quantile Regression
Factorisable multi-task quantile regression
Reliable data streams in the presence of external interference
Application of fuzzy finite element method in addressing the presence of uncertainties
Additive Nonparametric Regression in the Presence of Endogenous Regressors
Generating reliable tourist accommodation statistics: Bootstrapping regression model for overdispersed long-tailed data
Generating reliable tourist accommodation statistics: Bootstrapping regression model for overdispersed long-tailed data
Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust
Neuromechanics of Dynamic Balance Tasks in the Presence of Perturbations
Algorithms for scalable on-line machine learning on regression tasks
Uncertainties in Chemistry
Nonparametric Kernel and Regression Spline Estimation in the Presence of Measurement Error
Factorisable Multi-Task Quantile Regression
Factorisable multi-task quantile regression
Reliable data streams in the presence of external interference
Application of fuzzy finite element method in addressing the presence of uncertainties
Additive Nonparametric Regression in the Presence of Endogenous Regressors
Generating reliable tourist accommodation statistics: Bootstrapping regression model for overdispersed long-tailed data
Generating reliable tourist accommodation statistics: Bootstrapping regression model for overdispersed long-tailed data
Leverage, influence, and the jackknife in clustered regression models: Reliable inference using summclust
Neuromechanics of Dynamic Balance Tasks in the Presence of Perturbations
Algorithms for scalable on-line machine learning on regression tasks
Uncertainties in Chemistry