Kurt Hornik

Publication Activity (10 Years)

Years Active: 1989-2023
Publications (10 Years): 11

Top Topics

Maximum Likelihood

Von Mises Fisher

Conic Programming

Top Venues

Publications

Thomas Rusch, Patrick Mair, Kurt Hornik
Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling. Stat. Comput. 33 (1) (2023)
Lukas Sablica, Kurt Hornik
On bounds for Kummer's function ratio. Math. Comput. 91 (334) (2022)
Julian Amon, Kurt Hornik
Is it all bafflegab? - Linguistic and meta characteristics of research articles in prestigious economics journals. J. Informetrics 16 (2) (2022)
Thomas Rusch, Patrick Mair, Kurt Hornik
Cluster Optimized Proximity Scaling. J. Comput. Graph. Stat. 30 (4) (2021)
Florian Schwendinger, Bettina Grün, Kurt Hornik
A comparison of optimization solvers for log binomial regression including conic programming. Comput. Stat. 36 (3) (2021)
Lukas Sablica, Kurt Hornik
mistr: A Computational Framework for Mixture and Composite Distributions. R J. 12 (1) (2020)
Achim Zeileis, Jason C. Fisher, Kurt Hornik, Ross Ihaka, Claire D. McWhite, Paul Murrell, Reto Stauffer, Claus O. Wilke
colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes. J. Stat. Softw. 96 (1) (2020)
Stefan Bachhofner, Ana-Maria Loghin, Johannes Otepka, Norbert Pfeifer, Michael Hornacek, Andrea Siposova, Niklas Schmidinger, Kurt Hornik, Nikolaus Schiller, Olaf Kähler, Ronald Hochreiter
Generalized Sparse Convolutional Neural Networks for Semantic Segmentation of Point Clouds Derived from Tri-Stereo Satellite Imagery. Remote. Sens. 12 (8) (2020)
Achim Zeileis, Jason C. Fisher, Kurt Hornik, Ross Ihaka, Claire D. McWhite, Paul Murrell, Reto Stauffer, Claus O. Wilke
colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes. CoRR (2019)
Rainer Hirk, Kurt Hornik, Laura Vana
Multivariate ordinal regression models: an analysis of corporate credit ratings. Stat. Methods Appl. 28 (3) (2019)
Laura Vana, Ronald Hochreiter, Kurt Hornik
Computing a journal meta-ranking using paired comparisons and adaptive lasso estimators. Scientometrics 106 (1) (2016)
Laura Vana, Ronald Hochreiter, Kurt Hornik
Computing a consensus journal meta-ranking using paired comparisons and adaptive lasso estimators. CoRR (2015)
Kurt Hornik, Bettina Grün
On maximum likelihood estimation of the concentration parameter of von Mises-Fisher distributions. Comput. Stat. 29 (5) (2014)
Angela Bohn, Christian Buchta, Kurt Hornik, Patrick Mair
Corrigendum to "Making friends and communicating on Facebook: Implications for social capital" [Soc. Netw. (2014) 29-41]. Soc. Networks 39 (2014)
Kurt Hornik, Bettina Grün
On standard conjugate families for natural exponential families with bounded natural parameter space. J. Multivar. Anal. 126 (2014)
Angela Bohn, Christian Buchta, Kurt Hornik, Patrick Mair
Making friends and communicating on Facebook: Implications for the access to social capital. Soc. Networks 37 (2014)
Kurt Hornik, Duncan J. Murdoch, Achim Zeileis
Who Did What? The Roles of R Package Authors and How to Refer to Them. R J. 4 (1) (2012)
Walter Böhm, Kurt Hornik
A Kolmogorov-Smirnov Test for r Samples. Fundam. Informaticae 117 (1-4) (2012)
Stefan Theußl, Uwe Ligges, Kurt Hornik
Prospects and challenges in R package development. Comput. Stat. 26 (3) (2011)
Michael Hahsler, Sudheer Chelluboina, Kurt Hornik, Christian Buchta
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets. J. Mach. Learn. Res. 12 (2011)
Angela Bohn, Ingo Feinerer, Kurt Hornik, Patrick Mair
Content-Based Social Network Analysis of Mailing Lists. R J. 3 (1) (2011)
Kurt Hornik, Duncan J. Murdoch
Watch Your Spelling! R J. 3 (2) (2011)
Norbert Walchhofer, Karl Anton Froeschl, Kurt Hornik
Adaptive Change Estimation in the Context of Online Market Monitoring. EUROCAST (1) (2011)
Wilhelm M. Geiger, Johannes Rauch, Patrick Mair, Kurt Hornik
Text Categorization in R: A Reduced N-Gram Approach. GfKl (2010)
Kurt Hornik, Christian Buchta, Achim Zeileis
Open-source machine learning: R meets Weka. Comput. Stat. 24 (2) (2009)
Achim Zeileis, Kurt Hornik, Paul Murrell
Escaping RGBland: Selecting colors for statistical graphics. Comput. Stat. Data Anal. 53 (9) (2009)
Michael Hahsler, Christian Buchta, Kurt Hornik
Selective association rule generation CoRR (2008)
Alexandros Karatzoglou, Ingo Feinerer, Kurt Hornik
Nonparametric Distribution Analysis for Text Mining. GfKl (2008)
Michael Hahsler, Kurt Hornik
New probabilistic interest measures for association rules CoRR (2008)
Michael Hahsler, Christian Buchta, Kurt Hornik
Selective association rule generation. Comput. Stat. 23 (2) (2008)
Michael Hahsler, Kurt Hornik
New probabilistic interest measures for association rules. Intell. Data Anal. 11 (5) (2007)
Ingo Feinerer, Kurt Hornik
Text Mining of Supreme Administrative Court Jurisdictions. GfKl (2007)
Michael Schauerhuber, Achim Zeileis, David Meyer, Kurt Hornik
Benchmarking Open-Source Tree Learners in R/RWeka. GfKl (2007)
Kurt Hornik, Walter Böhm
Hard and Soft Euclidean Consensus Partitions. GfKl (2007)
Michael Hahsler, Kurt Hornik
Building on the Arules Infrastructure for Analyzing Transaction Data with R. GfKl (2006)
Kurt Hornik, David Meyer
Deriving Consensus Rankings from Benchmarking Experiments. GfKl (2006)
Kurt Hornik, Friedrich Leisch
R Version 2.1.0. Comput. Stat. 20 (2) (2005)
Michael Hahsler, Kurt Hornik, Thomas Reutterer
Implications of Probabilistic Data Modeling for Mining Association Rules. GfKl (2005)
Kurt Hornik, Friedrich Leisch
R Version 2.0.0. Comput. Stat. 19 (4) (2004)
David Meyer, Friedrich Leisch, Torsten Hothorn, Kurt Hornik
: An XML Format for Statistical Data. Comput. Stat. 19 (3) (2004)
Kurt Hornik
Cluster Ensembles. GfKl (2004)
Evgenia Dimitriadou, Markus Barth, Christian Windischberger, Kurt Hornik, Ewald Moser
A quantitative comparison of functional MRI cluster analysis. Artif. Intell. Medicine 31 (1) (2004)
Achim Zeileis, Christian Kleiber, Walter Krämer, Kurt Hornik
Testing and dating of structural changes in practice. Comput. Stat. Data Anal. 44 (1-2) (2003)
Andreas Weingessel, Kurt Hornik
A Robust Subspace Algorithm for Principal Component Analysis. Int. J. Neural Syst. 13 (5) (2003)
Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik
A Cluster Ensembles Framework. HIS (2003)
David Meyer, Friedrich Leisch, Kurt Hornik
The support vector machine under test. Neurocomputing 55 (1-2) (2003)
Marion S. Rauner, Achim Zeileis, Michaela Maria Schaffhauser-Linzatti, Kurt Hornik
Modelling the effects of the Austrian inpatient reimbursement system on length-of-stay distributions. OR Spectr. 25 (2) (2003)
Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik
A Combination Scheme for Fuzzy Clustering. AFSS (2002)
Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik
A Mixed Ensemble Approach for the Semi-supervised Problem. ICANN (2002)
Torsten Hothorn, Kurt Hornik
Exact Nonparametric Inference in R. COMPSTAT (2002)
David Meyer, Friedrich Leisch, Torsten Hothorn, Kurt Hornik
StatDataML: An XML Format for Statistical Data. COMPSTAT (2002)
Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik
A Combination Scheme for Fuzzy Clustering. Int. J. Pattern Recognit. Artif. Intell. 16 (7) (2002)
Evgenia Dimitriadou, Markus Barth, Christian Windischberger, Kurt Hornik, Ewald Moser
Detecting regions of interest in fMRI: an application on exploratory-based data analysis. FUZZ-IEEE (2002)
Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik
Voting-Merging: An Ensemble Method for Clustering. ICANN (2001)
Andreas Weingessel, Kurt Hornik
Local PCA algorithms. IEEE Trans. Neural Networks Learn. Syst. 11 (6) (2000)
Adrian Trapletti, Friedrich Leisch, Kurt Hornik
Stationary and Integrated Autoregressive Neural Network Processes. Neural Comput. 12 (10) (2000)
Konstantinos I. Diamantaras, Kurt Hornik, Michael G. Strintzis
Optimal linear compression under unreliable representation and robust PCA neural models. IEEE Trans. Neural Networks 10 (5) (1999)
Friedrich Leisch, Adrian Trapletti, Kurt Hornik
Stationarity and Stability of Autoregressive Neural Network Processes. NIPS (1998)
Friedrich Leisch, Lakhmi C. Jain, Kurt Hornik
Cross-validation with active pattern selection for neural-network classifiers. IEEE Trans. Neural Networks 9 (1) (1998)
Andreas Weingessel, Kurt Hornik
SVD Algorithms: APEX-like versus Subspace Methods. Neural Process. Lett. 5 (3) (1997)
Andreas Weingessel, Horst Bischof, Kurt Hornik, Friedrich Leisch
Adaptive combination of PCA and VQ networks. IEEE Trans. Neural Networks 8 (5) (1997)
Friedrich Leisch, Kurt Hornik
ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers. NIPS (1996)
Andreas Weingessel, Horst Bischof, Kurt Hornik
Hierarchies of autoassociators. ICPR (1996)
Kurt Hornik
Guest Editorial How to Submit Letters. IEEE Trans. Neural Networks 7 (5) (1996)
Friedrich Leisch, Kurt Hornik, Lakhmi C. Jain
NN Classifiers: Reducing the Computational Cost of Cross-Validation by Active Pattern Selection. ANNES (1995)
Pierre Baldi, Kurt Hornik
Learning in linear neural networks: a survey. IEEE Trans. Neural Networks 6 (4) (1995)
Pierre Baldi, Kurt Hornik
Universal Approximnation and Learning of Trajectories Using Oscillators. NIPS (1995)
Kurt Hornik, Maxwell B. Stinchcombe, Halbert White, Peter Auer
Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives. Neural Comput. 6 (6) (1994)
Chung-Ming Kuan, Kurt Hornik, Halbert White
A Convergence Result for Learning in Recurrent Neural Networks. Neural Comput. 6 (3) (1994)
Horst Bischof, Kurt Hornik
PCA-Pyramids for Image Compression. NIPS (1994)
Kurt Hornik, Maxwell B. Stinchcombe, Halbert White
Letters to the editor. Neural Networks 6 (1) (1993)
Kurt Hornik
Some new results on neural network approximation. Neural Networks 6 (8) (1993)
Kurt Hornik, Chung-Ming Kuan
Convergence analysis of local feature extraction algorithms. Neural Networks 5 (2) (1992)
Chung-Ming Kuan, Kurt Hornik
Convergence of learning algorithms with constant learning rates. IEEE Trans. Neural Networks 2 (5) (1991)
Kurt Hornik
Approximation capabilities of multilayer feedforward networks. Neural Networks 4 (2) (1991)
Kurt Hornik, Maxwell B. Stinchcombe, Halbert White
Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. Neural Networks 3 (5) (1990)
Kurt Hornik, Maxwell B. Stinchcombe, Halbert White
Multilayer feedforward networks are universal approximators. Neural Networks 2 (5) (1989)
Pierre Baldi, Kurt Hornik
Neural networks and principal component analysis: Learning from examples without local minima. Neural Networks 2 (1) (1989)