Hornik, Kurt

Multilayer feedforward networks are universal approximators

Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 21,728

Approximation capabilities of multilayer feedforward networks

Hornik, K. (1991) · Neural Networks

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 6,091

Unbiased Recursive Partitioning: A Conditional Inference Framework

Hothorn, T., Hornik, K., & Zeileis, A. (2006) · Journal of Computational and Graphical Statistics

Statistical Methods and InferenceData Mining Algorithms and Applications

Cited by 4,021

Neural networks and principal component analysis: Learning from examples without local minima

Baldi, P., & Hornik, K. (1989) · Neural Networks

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 1,383

topicmodels : An R Package for Fitting Topic Models

Grün, B., & Hornik, K. (2011) · Journal of Statistical Software

Computational and Text Analysis MethodsTopic Modeling

Cited by 1,072

Monitoring structural change in dynamic econometric models

Zeileis, A., Leisch, F., Kleiber, C., & Hornik, K. (2005) · Journal of Applied Econometrics

Monetary Policy and Economic ImpactAdvanced Statistical Methods and Models

Cited by 214

MONITORING STRUCTURAL CHANGES WITH THE GENERALIZED FLUCTUATION TEST

Leisch, F., Hornik, K., & Kuan, C.-M. (2000) · Econometric Theory

Advanced Statistical Process MonitoringAdvanced Statistical Methods and Models

Cited by 128

Life after death: Posttraumatic stress disorder in survivors of cardiac arrest—Prevalence, associated factors, and the influence of sedation and analgesia

Gamper, G., Willeit, M., Sterz, F., Herkner, H., Zoufaly, A., Hornik, K., Havel, C., & Laggner, A. N. (2004) · Critical Care Medicine

Cardiac Arrest and ResuscitationPosttraumatic Stress Disorder Research

Cited by 119

Making friends and communicating on Facebook: Implications for the access to social capital

Bohn, A., Buchta, C., Hornik, K., & Mair, P. (2014) · Social Networks

Complex Network Analysis TechniquesSocial Capital and Networks

Cited by 106

Measuring the stability of results from supervised statistical learning

Philipp, M., Rusch, T., Hornik, K., & Strobl, C. (2018) · Journal of Computational and Graphical Statistics

Statistical Methods and InferenceMachine Learning and Data Classification

Cited by 56