Kurt Hornik

	2011
43		Norbert Walchhofer, Karl Anton Froeschl, Kurt Hornik: Adaptive Change Estimation in the Context of Online Market Monitoring. EUROCAST (1) 2011: 200-207
42		Michael Hahsler, Sudheer Chelluboina, Kurt Hornik, Christian Buchta: The arules R-Package Ecosystem: Analyzing Interesting Patterns from Large Transaction Data Sets. Journal of Machine Learning Research 12: 2021-2025 (2011)
	2010
41		Wilhelm M. Geiger, Johannes Rauch, Patrick Mair, Kurt Hornik: Text Categorization in R: A Reduced N-Gram Approach. GfKl 2010: 341-349
	2009
40		Achim Zeileis, Kurt Hornik, Paul Murrell: Escaping RGBland: Selecting colors for statistical graphics. Computational Statistics & Data Analysis 53(9): 3259-3270 (2009)
	2008
39		Alexandros Karatzoglou, Ingo Feinerer, Kurt Hornik: Nonparametric Distribution Analysis for Text Mining. GfKl 2008: 295-305
38		Michael Hahsler, Christian Buchta, Kurt Hornik: Selective association rule generation CoRR abs/0803.0954: (2008)
37		Michael Hahsler, Kurt Hornik: New probabilistic interest measures for association rules CoRR abs/0803.0966: (2008)
	2007
36		Kurt Hornik, Walter Böhm: Hard and Soft Euclidean Consensus Partitions. GfKl 2007: 147-154
35		Michael Schauerhuber, Achim Zeileis, David Meyer, Kurt Hornik: Benchmarking Open-Source Tree Learners in R/RWeka. GfKl 2007: 389-396
34		Ingo Feinerer, Kurt Hornik: Text Mining of Supreme Administrative Court Jurisdictions. GfKl 2007: 569-576
33		Michael Hahsler, Kurt Hornik: New probabilistic interest measures for association rules. Intell. Data Anal. 11(5): 437-455 (2007)
	2006
32		Kurt Hornik, David Meyer: Deriving Consensus Rankings from Benchmarking Experiments. GfKl 2006: 163-170
31		Michael Hahsler, Kurt Hornik: Building on the Arules Infrastructure for Analyzing Transaction Data with R. GfKl 2006: 449-456
	2005
30		Michael Hahsler, Kurt Hornik, Thomas Reutterer: Implications of Probabilistic Data Modeling for Mining Association Rules. GfKl 2005: 598-605
	2004
29		Kurt Hornik: Cluster Ensembles. GfKl 2004: 65-72
28		Evgenia Dimitriadou, Markus Barth, Christian Windischberger, Kurt Hornik, Ewald Moser: A quantitative comparison of functional MRI cluster analysis. Artificial Intelligence in Medicine 31(1): 57-71 (2004)
	2003
27		Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik: A Cluster Ensembles Framework. HIS 2003: 528-534
26		Achim Zeileis, Christian Kleiber, Walter Krämer, Kurt Hornik: Testing and dating of structural changes in practice. Computational Statistics & Data Analysis 44(1-2): 109-123 (2003)
25		Andreas Weingessel, Kurt Hornik: A Robust Subspace Algorithm for Principal Component Analysis. Int. J. Neural Syst. 13(5): 307-313 (2003)
24		David Meyer, Friedrich Leisch, Kurt Hornik: The support vector machine under test. Neurocomputing 55(1-2): 169-186 (2003)
	2002
23		Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik: A Combination Scheme for Fuzzy Clustering. AFSS 2002: 332-338
22		Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik: A Mixed Ensemble Approach for the Semi-supervised Problem. ICANN 2002: 571-576
21		Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik: A Combination Scheme for Fuzzy Clustering. IJPRAI 16(7): 901-912 (2002)
	2001
20		Georg Dorffner, Horst Bischof, Kurt Hornik: Artificial Neural Networks - ICANN 2001, International Conference Vienna, Austria, August 21-25, 2001 Proceedings Springer 2001
19		Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik: Voting-Merging: An Ensemble Method for Clustering. ICANN 2001: 217-224
	2000
18		Andreas Weingessel, Kurt Hornik: Local PCA algorithms. IEEE Trans. Neural Netw. Learning Syst. 11(6): 1242-1250 (2000)
17		Adrian Trapletti, Friedrich Leisch, Kurt Hornik: Stationary and Integrated Autoregressive Neural Network Processes. Neural Computation 12(10): 2427-2450 (2000)
	1999
16		Konstantinos I. Diamantaras, Kurt Hornik, Michael G. Strintzis: Optimal linear compression under unreliable representation and robust PCA neural models. IEEE Transactions on Neural Networks 10(5): 1186-1195 (1999)
	1998
15		Friedrich Leisch, Adrian Trapletti, Kurt Hornik: Stationarity and Stability of Autoregressive Neural Network Processes. NIPS 1998: 267-273
14		Friedrich Leisch, Lakhmi C. Jain, Kurt Hornik: Cross-validation with active pattern selection for neural-network classifiers. IEEE Transactions on Neural Networks 9(1): 35-41 (1998)
	1997
13		Andreas Weingessel, Kurt Hornik: SVD Algorithms: APEX-like versus Subspace Methods. Neural Processing Letters 5(3): 177-184 (1997)
	1996
12		Friedrich Leisch, Kurt Hornik: ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers. NIPS 1996: 522-528
	1995
11		Friedrich Leisch, Kurt Hornik, Lakhmi C. Jain: NN Classifiers: Reducing the Computational Cost of Cross-Validation by Active Pattern Selection. ANNES 1995: 91-94
10		Pierre Baldi, Kurt Hornik: Universal Approximnation and Learning of Trajectories Using Oscillators. NIPS 1995: 451-457
	1994
9		Horst Bischof, Kurt Hornik: PCA-Pyramids for Image Compression. NIPS 1994: 941-948
8		Chung-Ming Kuan, Kurt Hornik, Halbert White: A Convergence Result for Learning in Recurrent Neural Networks. Neural Computation 6(3): 420-440 (1994)
7		Kurt Hornik, Maxwell B. Stinchcombe, Halbert White, Peter Auer: Degree of Approximation Results for Feedforward Networks Approximating Unknown Mappings and Their Derivatives. Neural Computation 6(6): 1262-1275 (1994)
	1993
6		Kurt Hornik, Maxwell B. Stinchcombe, Halbert White: Letters to the editor. Neural Networks 6(1): 3 (1993)
	1992
5		Kurt Hornik, Chung-Ming Kuan: Convergence analysis of local feature extraction algorithms. Neural Networks 5(2): 229-240 (1992)
	1991
4		Kurt Hornik: Approximation capabilities of multilayer feedforward networks. Neural Networks 4(2): 251-257 (1991)
	1990
3		Kurt Hornik, Maxwell B. Stinchcombe, Halbert White: Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks. Neural Networks 3(5): 551-560 (1990)
	1989
2		Pierre Baldi, Kurt Hornik: Neural networks and principal component analysis: Learning from examples without local minima. Neural Networks 2(1): 53-58 (1989)
1		Kurt Hornik, Maxwell B. Stinchcombe, Halbert White: Multilayer feedforward networks are universal approximators. Neural Networks 2(5): 359-366 (1989)

Coauthor Index

1	Peter Auer	[7]
2	Pierre Baldi	[2] [10]
3	Markus Barth	[28]
4	Horst Bischof	[9] [20]
5	Walter Böhm	[36]
6	Christian Buchta	[38] [42]
7	Sudheer Chelluboina	[42]
8	Konstantinos I. Diamantaras (Kostas I. Diamantaras)	[16]
9	Evgenia Dimitriadou	[19] [21] [22] [23] [27] [28]
10	Georg Dorffner	[20]
11	Ingo Feinerer	[34] [39]
12	Karl Anton Froeschl (Karl Anton Fröschl)	[43]
13	Wilhelm M. Geiger	[41]
14	Michael Hahsler	[30] [31] [33] [37] [38] [42]
15	Lakhmi C. Jain	[11] [14]
16	Alexandros Karatzoglou	[39]
17	Christian Kleiber	[26]
18	Walter Krämer	[26]
19	Chung-Ming Kuan	[5] [8]
20	Friedrich Leisch	[11] [12] [14] [15] [17] [24]
21	Patrick Mair	[41]
22	David Meyer	[24] [32] [35]
23	Ewald Moser	[28]
24	Paul Murrell	[40]
25	Johannes Rauch	[41]
26	Thomas Reutterer	[30]
27	Michael Schauerhuber	[35]
28	Maxwell B. Stinchcombe	[1] [3] [6] [7]
29	Michael G. Strintzis	[16]
30	Adrian Trapletti	[15] [17]
31	Norbert Walchhofer	[43]
32	Andreas Weingessel	[13] [18] [19] [21] [22] [23] [25] [27]
33	Halbert White	[1] [3] [6] [7] [8]
34	Christian Windischberger	[28]
35	Achim Zeileis	[26] [35] [40]

Colors in the list of coauthors

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