Kurt Hornik

According to our database1, Kurt Hornik authored at least 66 papers between 1989 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Generalized Sparse Convolutional Neural Networks for Semantic Segmentation of Point Clouds Derived from Tri-Stereo Satellite Imagery.
Remote. Sens., 2020

2019
Multivariate ordinal regression models: an analysis of corporate credit ratings.
Stat. Methods Appl., 2019

colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes.
CoRR, 2019

2016
Computing a journal meta-ranking using paired comparisons and adaptive lasso estimators.
Scientometrics, 2016

2015
Computing a consensus journal meta-ranking using paired comparisons and adaptive lasso estimators.
CoRR, 2015

2014
Corrigendum to "Making friends and communicating on Facebook: Implications for social capital" [Soc. Netw. (2014) 29-41].
Soc. Networks, 2014

Making friends and communicating on Facebook: Implications for the access to social capital.
Soc. Networks, 2014

On standard conjugate families for natural exponential families with bounded natural parameter space.
J. Multivar. Anal., 2014

On maximum likelihood estimation of the concentration parameter of von Mises-Fisher distributions.
Comput. Stat., 2014

2013
Determining the Similarity Between US Cities Using a Gravity Model for Search Engine Query Data.
Proceedings of the Algorithms from and for Nature and Life, 2013

2012
A Kolmogorov-Smirnov Test for r Samples.
Fundam. Inform., 2012

2011
The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets.
J. Mach. Learn. Res., 2011

Prospects and challenges in R package development.
Comput. Stat., 2011

Adaptive Change Estimation in the Context of Online Market Monitoring.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

2010
Text Categorization in R: A Reduced N-Gram Approach.
Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010

2009
Open-source machine learning: R meets Weka.
Comput. Stat., 2009

Escaping RGBland: Selecting colors for statistical graphics.
Comput. Stat. Data Anal., 2009

2008
Selective association rule generation.
Comput. Stat., 2008

Nonparametric Distribution Analysis for Text Mining.
Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

2007
New probabilistic interest measures for association rules.
Intell. Data Anal., 2007

Benchmarking Open-Source Tree Learners in R/RWeka.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Hard and Soft Euclidean Consensus Partitions.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

Text Mining of Supreme Administrative Court Jurisdictions.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2006
Deriving Consensus Rankings from Benchmarking Experiments.
Proceedings of the Advances in Data Analysis, 2006

Building on the Arules Infrastructure for Analyzing Transaction Data with R.
Proceedings of the Advances in Data Analysis, 2006

2005
R Version 2.1.0.
Comput. Stat., 2005

Implications of Probabilistic Data Modeling for Mining Association Rules.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

2004
<i>StatDataML</i>: An XML Format for Statistical Data.
Comput. Stat., 2004

R Version 2.0.0.
Comput. Stat., 2004

A quantitative comparison of functional MRI cluster analysis.
Artif. Intell. Medicine, 2004

Cluster Ensembles.
Proceedings of the Classification, 2004

2003
Modelling the effects of the Austrian inpatient reimbursement system on length-of-stay distributions.
OR Spectr., 2003

The support vector machine under test.
Neurocomputing, 2003

A Robust Subspace Algorithm for Principal Component Analysis.
Int. J. Neural Syst., 2003

Testing and dating of structural changes in practice.
Comput. Stat. Data Anal., 2003

A Cluster Ensembles Framework.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

2002
A Combination Scheme for Fuzzy Clustering.
Int. J. Pattern Recognit. Artif. Intell., 2002

A Mixed Ensemble Approach for the Semi-supervised Problem.
Proceedings of the Artificial Neural Networks, 2002

Detecting regions of interest in fMRI: an application on exploratory-based data analysis.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

StatDataML: An XML Format for Statistical Data.
Proceedings of the COMPSTAT 2002, 2002

Exact Nonparametric Inference in R.
Proceedings of the COMPSTAT 2002, 2002

2001
Voting-Merging: An Ensemble Method for Clustering.
Proceedings of the Artificial Neural Networks, 2001

2000
Local PCA algorithms.
IEEE Trans. Neural Networks Learn. Syst., 2000

Stationary and Integrated Autoregressive Neural Network Processes.
Neural Computation, 2000

1999
Optimal linear compression under unreliable representation and robust PCA neural models.
IEEE Trans. Neural Networks, 1999

1998
Cross-validation with active pattern selection for neural-network classifiers.
IEEE Trans. Neural Networks, 1998

Stationarity and Stability of Autoregressive Neural Network Processes.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997
Adaptive combination of PCA and VQ networks.
IEEE Trans. Neural Networks, 1997

SVD Algorithms: APEX-like versus Subspace Methods.
Neural Process. Lett., 1997

1996
Guest Editorial How to Submit Letters.
IEEE Trans. Neural Networks, 1996

ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Hierarchies of autoassociators.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995
Learning in linear neural networks: a survey.
IEEE Trans. Neural Networks, 1995

Universal Approximnation and Learning of Trajectories Using Oscillators.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

NN Classifiers: Reducing the Computational Cost of Cross-Validation by Active Pattern Selection.
Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995

1994
A Convergence Result for Learning in Recurrent Neural Networks.
Neural Computation, 1994

Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives.
Neural Computation, 1994

PCA-Pyramids for Image Compression.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
Letters to the editor.
Neural Networks, 1993

Some new results on neural network approximation.
Neural Networks, 1993

1992
Convergence analysis of local feature extraction algorithms.
Neural Networks, 1992

1991
Convergence of learning algorithms with constant learning rates.
IEEE Trans. Neural Networks, 1991

Approximation capabilities of multilayer feedforward networks.
Neural Networks, 1991

1990
Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks.
Neural Networks, 1990

1989
Multilayer feedforward networks are universal approximators.
Neural Networks, 1989

Neural networks and principal component analysis: Learning from examples without local minima.
Neural Networks, 1989


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