 | 2008 |
| 37 |  | Michael Hahsler,
Christian Buchta,
Kurt Hornik:
Selective association rule generation
CoRR abs/0803.0954: (2008) |
| 36 |  | Michael Hahsler,
Kurt Hornik:
New probabilistic interest measures for association rules
CoRR abs/0803.0966: (2008) |
| 2007 |
| 35 |  | Kurt Hornik,
Walter Böhm:
Hard and Soft Euclidean Consensus Partitions.
GfKl 2007: 147-154 |
| 34 |  | Michael Schauerhuber,
Achim Zeileis,
David Meyer,
Kurt Hornik:
Benchmarking Open-Source Tree Learners in R/RWeka.
GfKl 2007: 389-396 |
| 33 |  | Ingo Feinerer,
Kurt Hornik:
Text Mining of Supreme Administrative Court Jurisdictions.
GfKl 2007: 569-576 |
| 32 |  | Michael Hahsler,
Kurt Hornik:
New probabilistic interest measures for association rules.
Intell. Data Anal. 11(5): 437-455 (2007) |
| 2006 |
| 31 |  | Kurt Hornik,
David Meyer:
Deriving Consensus Rankings from Benchmarking Experiments.
GfKl 2006: 163-170 |
| 30 |  | Michael Hahsler,
Kurt Hornik:
Building on the Arules Infrastructure for Analyzing Transaction Data with R.
GfKl 2006: 449-456 |
| 2005 |
| 29 |  | Michael Hahsler,
Kurt Hornik,
Thomas Reutterer:
Implications of Probabilistic Data Modeling for Mining Association Rules.
GfKl 2005: 598-605 |
| 2004 |
| 28 |  | Kurt Hornik:
Cluster Ensembles.
GfKl 2004: 65-72 |
| 27 |  | 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 |
| 26 |  | Evgenia Dimitriadou,
Andreas Weingessel,
Kurt Hornik:
A Cluster Ensembles Framework.
HIS 2003: 528-534 |
| 25 |  | 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) |
| 24 |  | Andreas Weingessel,
Kurt Hornik:
A Robust Subspace Algorithm for Principal Component Analysis.
Int. J. Neural Syst. 13(5): 307-313 (2003) |
| 23 |  | David Meyer,
Friedrich Leisch,
Kurt Hornik:
The support vector machine under test.
Neurocomputing 55(1-2): 169-186 (2003) |
| 2002 |
| 22 |  | Evgenia Dimitriadou,
Andreas Weingessel,
Kurt Hornik:
A Combination Scheme for Fuzzy Clustering.
AFSS 2002: 332-338 |
| 21 |  | Evgenia Dimitriadou,
Andreas Weingessel,
Kurt Hornik:
A Mixed Ensemble Approach for the Semi-supervised Problem.
ICANN 2002: 571-576 |
| 20 |  | Evgenia Dimitriadou,
Andreas Weingessel,
Kurt Hornik:
A Combination Scheme for Fuzzy Clustering.
IJPRAI 16(7): 901-912 (2002) |
| 2001 |
| 19 |  | Georg Dorffner,
Horst Bischof,
Kurt Hornik:
Artificial Neural Networks - ICANN 2001, International Conference Vienna, Austria, August 21-25, 2001 Proceedings
Springer 2001 |
| 18 |  | Evgenia Dimitriadou,
Andreas Weingessel,
Kurt Hornik:
Voting-Merging: An Ensemble Method for Clustering.
ICANN 2001: 217-224 |
| 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) |