Kurt Hornik

2008
28	EE	Michael Hahsler, Christian Buchta, Kurt Hornik: Selective association rule generation CoRR abs/0803.0954: (2008)
27	EE	Michael Hahsler, Kurt Hornik: New probabilistic interest measures for association rules CoRR abs/0803.0966: (2008)
2007
26	EE	Michael Hahsler, Kurt Hornik: New probabilistic interest measures for association rules. Intell. Data Anal. 11(5): 437-455 (2007)
2004
25	EE	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
24		Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik: A Cluster Ensembles Framework. HIS 2003: 528-534
23	EE	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)
22	EE	Andreas Weingessel, Kurt Hornik: A Robust Subspace Algorithm for Principal Component Analysis. Int. J. Neural Syst. 13(5): 307-313 (2003)
21	EE	David Meyer, Friedrich Leisch, Kurt Hornik: The support vector machine under test. Neurocomputing 55(1-2): 169-186 (2003)
2002
20	EE	Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik: A Combination Scheme for Fuzzy Clustering. AFSS 2002: 332-338
19	EE	Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik: A Mixed Ensemble Approach for the Semi-supervised Problem. ICANN 2002: 571-576
18	EE	Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik: A Combination Scheme for Fuzzy Clustering. IJPRAI 16(7): 901-912 (2002)
2001
17		Georg Dorffner, Horst Bischof, Kurt Hornik: Artificial Neural Networks - ICANN 2001, International Conference Vienna, Austria, August 21-25, 2001 Proceedings Springer 2001
16	EE	Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik: Voting-Merging: An Ensemble Method for Clustering. ICANN 2001: 217-224
2000
15		Adrian Trapletti, Friedrich Leisch, Kurt Hornik: Stationary and Integrated Autoregressive Neural Network Processes. Neural Computation 12(10): 2427-2450 (2000)
1999
14	EE	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
13	EE	Friedrich Leisch, Adrian Trapletti, Kurt Hornik: Stationarity and Stability of Autoregressive Neural Network Processes. NIPS 1998: 267-273
12	EE	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
11		Andreas Weingessel, Kurt Hornik: SVD Algorithms: APEX-like versus Subspace Methods. Neural Processing Letters 5(3): 177-184 (1997)
1996
10	EE	Friedrich Leisch, Kurt Hornik: ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers. NIPS 1996: 522-528
1995
9	EE	Friedrich Leisch, Kurt Hornik, Lakhmi C. Jain: NN Classifiers: Reducing the Computational Cost of Cross-Validation by Active Pattern Selection. ANNES 1995: 91-94
8	EE	Pierre Baldi, Kurt Hornik: Universal Approximnation and Learning of Trajectories Using Oscillators. NIPS 1995: 451-457
1994
7	EE	Horst Bischof, Kurt Hornik: PCA-Pyramids for Image Compression. NIPS 1994: 941-948
1993
6	EE	Kurt Hornik, Maxwell B. Stinchcombe, Halbert White: Letters to the editor. Neural Networks 6(1): 3 (1993)
1992
5	EE	Kurt Hornik, Chung-Ming Kuan: Convergence analysis of local feature extraction algorithms. Neural Networks 5(2): 229-240 (1992)
1991
4	EE	Kurt Hornik: Approximation capabilities of multilayer feedforward networks. Neural Networks 4(2): 251-257 (1991)
1990
3	EE	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	EE	Pierre Baldi, Kurt Hornik: Neural networks and principal component analysis: Learning from examples without local minima. Neural Networks 2(1): 53-58 (1989)
1	EE	Kurt Hornik, Maxwell B. Stinchcombe, Halbert White: Multilayer feedforward networks are universal approximators. Neural Networks 2(5): 359-366 (1989)

Coauthor Index

1	Pierre Baldi	[2] [8]
2	Markus Barth	[25]
3	Horst Bischof	[7] [17]
4	Christian Buchta	[28]
5	Konstantinos I. Diamantaras	[14]
6	Evgenia Dimitriadou	[16] [18] [19] [20] [24] [25]
7	Georg Dorffner	[17]
8	Michael Hahsler	[26] [27] [28]
9	Lakhmi C. Jain	[9] [12]
10	Christian Kleiber	[23]
11	Walter Krämer	[23]
12	Chung-Ming Kuan	[5]
13	Friedrich Leisch	[9] [10] [12] [13] [15] [21]
14	David Meyer	[21]
15	Ewald Moser	[25]
16	Maxwell B. Stinchcombe	[1] [3] [6]
17	Michael G. Strintzis	[14]
18	Adrian Trapletti	[13] [15]
19	Andreas Weingessel	[11] [16] [18] [19] [20] [22] [24]
20	Halbert White	[1] [3] [6]
21	Christian Windischberger	[25]
22	Achim Zeileis	[23]

Colors in the list of coauthors