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Kurt Hornik
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2020 – today
- 2023
- [j51]Thomas Rusch
, Patrick Mair, Kurt Hornik:
Structure-based hyperparameter selection with Bayesian optimization in multidimensional scaling. Stat. Comput. 33(1): 28 (2023) - 2022
- [j50]Julian Amon
Is it all bafflegab? - Linguistic and meta characteristics of research articles in prestigious economics journals. J. Informetrics 16(2): 101284 (2022) - [j49]Lukas Sablica
On bounds for Kummer's function ratio. Math. Comput. 91(334): 887-907 (2022) - 2021
- [j48]Florian Schwendinger
A comparison of optimization solvers for log binomial regression including conic programming. Comput. Stat. 36(3): 1721-1754 (2021) - [j47]Thomas Rusch
Cluster Optimized Proximity Scaling. J. Comput. Graph. Stat. 30(4): 1156-1167 (2021) - 2020
- [j46]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) - [j45]Stefan Bachhofner
Generalized Sparse Convolutional Neural Networks for Semantic Segmentation of Point Clouds Derived from Tri-Stereo Satellite Imagery. Remote. Sens. 12(8): 1289 (2020) - [j44]Lukas Sablica
mistr: A Computational Framework for Mixture and Composite Distributions. R J. 12(1): 283 (2020)
2010 – 2019
- 2019
- [j43]Rainer Hirk, Kurt Hornik, Laura Vana
Multivariate ordinal regression models: an analysis of corporate credit ratings. Stat. Methods Appl. 28(3): 507-539 (2019) - [i4]Achim Zeileis, Jason C. Fisher, Kurt Hornik, Ross Ihaka, Claire D. McWhite, Paul Murrell, Reto Stauffer
colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes. CoRR abs/1903.06490 (2019) - 2016
- [j42]Laura Vana
Computing a journal meta-ranking using paired comparisons and adaptive lasso estimators. Scientometrics 106(1): 229-251 (2016) - 2015
- [i3]Laura Vana, Ronald Hochreiter, Kurt Hornik:
Computing a consensus journal meta-ranking using paired comparisons and adaptive lasso estimators. CoRR abs/1504.04873 (2015) - 2014
- [j41]Kurt Hornik
On maximum likelihood estimation of the concentration parameter of von Mises-Fisher distributions. Comput. Stat. 29(5): 945-957 (2014) - [j40]Kurt Hornik
On standard conjugate families for natural exponential families with bounded natural parameter space. J. Multivar. Anal. 126: 14-24 (2014) - [j39]Angela Bohn, Christian Buchta, Kurt Hornik
Making friends and communicating on Facebook: Implications for the access to social capital. Soc. Networks 37: 29-41 (2014) - [j38]Angela Bohn, Christian Buchta, Kurt Hornik
Corrigendum to "Making friends and communicating on Facebook: Implications for social capital" [Soc. Netw. (2014) 29-41]. Soc. Networks 39: 98 (2014) - 2013
- [p1]Paul Hofmarcher, Bettina Grün, Kurt Hornik, Patrick Mair:
Determining the Similarity Between US Cities Using a Gravity Model for Search Engine Query Data. Algorithms from and for Nature and Life 2013: 243-250 - 2012
- [j37]Walter Böhm, Kurt Hornik
A Kolmogorov-Smirnov Test for r Samples. Fundam. Informaticae 117(1-4): 103-125 (2012) - [j36]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): 64 (2012) - 2011
- [j35]Stefan Theußl
Prospects and challenges in R package development. Comput. Stat. 26(3): 395-404 (2011) - [j34]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: 2021-2025 (2011) - [j33]Angela Bohn, Ingo Feinerer, Kurt Hornik, Patrick Mair:
Content-Based Social Network Analysis of Mailing Lists. R J. 3(1): 11 (2011) - [j32]Kurt Hornik, Duncan J. Murdoch:
Watch Your Spelling! R J. 3(2): 22 (2011) - [c23]Norbert Walchhofer, Karl Anton Froeschl, Kurt Hornik:
Adaptive Change Estimation in the Context of Online Market Monitoring. EUROCAST (1) 2011: 200-207 - 2010
- [c22]Wilhelm M. Geiger, Johannes Rauch, Patrick Mair, Kurt Hornik:
Text Categorization in R: A Reduced N-Gram Approach. GfKl 2010: 341-349
2000 – 2009
- 2009
- [j31]Achim Zeileis
Escaping RGBland: Selecting colors for statistical graphics. Comput. Stat. Data Anal. 53(9): 3259-3270 (2009) - [j30]Kurt Hornik
Open-source machine learning: R meets Weka. Comput. Stat. 24(2): 225-232 (2009) - 2008
- [j29]Michael Hahsler
Selective association rule generation. Comput. Stat. 23(2): 303-315 (2008) - [c21]Alexandros Karatzoglou, Ingo Feinerer
Nonparametric Distribution Analysis for Text Mining. GfKl 2008: 295-305 - [i2]Michael Hahsler, Christian Buchta, Kurt Hornik:
Selective association rule generation. CoRR abs/0803.0954 (2008) - [i1]Michael Hahsler, Kurt Hornik:
New probabilistic interest measures for association rules. CoRR abs/0803.0966 (2008) - 2007
- [j28]Michael Hahsler, Kurt Hornik:
New probabilistic interest measures for association rules. Intell. Data Anal. 11(5): 437-455 (2007) - [c20]Kurt Hornik, Walter Böhm:
Hard and Soft Euclidean Consensus Partitions. GfKl 2007: 147-154 - [c19]Michael Schauerhuber, Achim Zeileis
Benchmarking Open-Source Tree Learners in R/RWeka. GfKl 2007: 389-396 - [c18]Ingo Feinerer
Text Mining of Supreme Administrative Court Jurisdictions. GfKl 2007: 569-576 - 2006
- [c17]Kurt Hornik, David Meyer:
Deriving Consensus Rankings from Benchmarking Experiments. GfKl 2006: 163-170 - [c16]Michael Hahsler
Building on the Arules Infrastructure for Analyzing Transaction Data with R. GfKl 2006: 449-456 - 2005
- [j27]Kurt Hornik
R Version 2.1.0. Comput. Stat. 20(2): 197-202 (2005) - [c15]Michael Hahsler, Kurt Hornik, Thomas Reutterer:
Implications of Probabilistic Data Modeling for Mining Association Rules. GfKl 2005: 598-605 - 2004
- [j26]Evgenia Dimitriadou, Markus Barth
A quantitative comparison of functional MRI cluster analysis. Artif. Intell. Medicine 31(1): 57-71 (2004) - [j25]David Meyer, Friedrich Leisch
StatDataML: An XML Format for Statistical Data. Comput. Stat. 19(3): 493-509 (2004) - [j24]Kurt Hornik, Friedrich Leisch
R Version 2.0.0. Comput. Stat. 19(4): 661-664 (2004) - [c14]Kurt Hornik
Cluster Ensembles. GfKl 2004: 65-72 - 2003
- [j23]Achim Zeileis
Testing and dating of structural changes in practice. Comput. Stat. Data Anal. 44(1-2): 109-123 (2003) - [j22]Andreas Weingessel, Kurt Hornik
A Robust Subspace Algorithm for Principal Component Analysis. Int. J. Neural Syst. 13(5): 307-313 (2003) - [j21]David Meyer, Friedrich Leisch
The support vector machine under test. Neurocomputing 55(1-2): 169-186 (2003) - [j20]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): 183-206 (2003) - [c13]Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik:
A Cluster Ensembles Framework. HIS 2003: 528-534 - 2002
- [j19]Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik
A Combination Scheme for Fuzzy Clustering. Int. J. Pattern Recognit. Artif. Intell. 16(7): 901-912 (2002) - [c12]Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik:
A Combination Scheme for Fuzzy Clustering. AFSS 2002: 332-338 - [c11]Torsten Hothorn, Kurt Hornik
Exact Nonparametric Inference in R. COMPSTAT 2002: 355-360 - [c10]David Meyer, Friedrich Leisch, Torsten Hothorn, Kurt Hornik
StatDataML: An XML Format for Statistical Data. COMPSTAT 2002: 545-550 - [c9]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: 1488-1492 - [c8]Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik:
A Mixed Ensemble Approach for the Semi-supervised Problem. ICANN 2002: 571-576 - 2001
- [c7]Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik:
Voting-Merging: An Ensemble Method for Clustering. ICANN 2001: 217-224 - [e1]Georg Dorffner
Artificial Neural Networks - ICANN 2001, International Conference Vienna, Austria, August 21-25, 2001 Proceedings. Lecture Notes in Computer Science 2130, Springer 2001, ISBN 3-540-42486-5 [contents] - 2000
- [j18]Adrian Trapletti, Friedrich Leisch
Stationary and Integrated Autoregressive Neural Network Processes. Neural Comput. 12(10): 2427-2450 (2000) - [j17]Andreas Weingessel, Kurt Hornik:
Local PCA algorithms. IEEE Trans. Neural Networks Learn. Syst. 11(6): 1242-1250 (2000)
1990 – 1999
- 1999
- [j16]Konstantinos I. Diamantaras
Optimal linear compression under unreliable representation and robust PCA neural models. IEEE Trans. Neural Networks 10(5): 1186-1195 (1999) - 1998
- [j15]Friedrich Leisch
Cross-validation with active pattern selection for neural-network classifiers. IEEE Trans. Neural Networks 9(1): 35-41 (1998) - [c6]Friedrich Leisch, Adrian Trapletti, Kurt Hornik:
Stationarity and Stability of Autoregressive Neural Network Processes. NIPS 1998: 267-273 - 1997
- [j14]Andreas Weingessel, Kurt Hornik:
SVD Algorithms: APEX-like versus Subspace Methods. Neural Process. Lett. 5(3): 177-184 (1997) - [j13]Andreas Weingessel, Horst Bischof
Adaptive combination of PCA and VQ networks. IEEE Trans. Neural Networks 8(5): 1208-1211 (1997) - 1996
- [j12]Kurt Hornik:
Guest Editorial How to Submit Letters. IEEE Trans. Neural Networks 7(5): 1061 (1996) - [c5]Andreas Weingessel, Horst Bischof, Kurt Hornik:
Hierarchies of autoassociators. ICPR 1996: 200-204 - [c4]Friedrich Leisch, Kurt Hornik:
ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers. NIPS 1996: 522-528 - 1995
- [j11]Pierre Baldi, Kurt Hornik
Learning in linear neural networks: a survey. IEEE Trans. Neural Networks 6(4): 837-858 (1995) - [c3]Friedrich Leisch
NN Classifiers: Reducing the Computational Cost of Cross-Validation by Active Pattern Selection. ANNES 1995: 91-94 - [c2]Pierre Baldi, Kurt Hornik:
Universal Approximnation and Learning of Trajectories Using Oscillators. NIPS 1995: 451-457 - 1994
- [j10]Chung-Ming Kuan, Kurt Hornik, Halbert White:
A Convergence Result for Learning in Recurrent Neural Networks. Neural Comput. 6(3): 420-440 (1994) - [j9]Kurt Hornik
Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives. Neural Comput. 6(6): 1262-1275 (1994) - [c1]Horst Bischof, Kurt Hornik:
PCA-Pyramids for Image Compression. NIPS 1994: 941-948 - 1993
- [j8]Kurt Hornik, Maxwell B. Stinchcombe, Halbert White:
Letters to the editor. Neural Networks 6(1): 3 (1993) - [j7]Kurt Hornik:
Some new results on neural network approximation. Neural Networks 6(8): 1069-1072 (1993) - 1992
- [j6]Kurt Hornik, Chung-Ming Kuan:
Convergence analysis of local feature extraction algorithms. Neural Networks 5(2): 229-240 (1992) - 1991
- [j5]Kurt Hornik
Approximation capabilities of multilayer feedforward networks. Neural Networks 4(2): 251-257 (1991) - [j4]Chung-Ming Kuan, Kurt Hornik
Convergence of learning algorithms with constant learning rates. IEEE Trans. Neural Networks 2(5): 484-489 (1991) - 1990
- [j3]Kurt Hornik
Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. Neural Networks 3(5): 551-560 (1990)
1980 – 1989
- 1989
- [j2]Pierre Baldi, Kurt Hornik
Neural networks and principal component analysis: Learning from examples without local minima. Neural Networks 2(1): 53-58 (1989) - [j1]Kurt Hornik
Multilayer feedforward networks are universal approximators. Neural Networks 2(5): 359-366 (1989)
Coauthor Index
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