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ORCIDDietrich Wettschereck
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2000 – 2009
- 2007
[j4]Sarabjot S. Anand, Marko Grobelnik, Frank Herrmann, Mark F. Hornick, Christoph Lingenfelder, Niall Rooney, Dietrich Wettschereck:
Knowledge discovery standards. Artif. Intell. Rev. 27(1): 21-56 (2007)- 2004
- [c11]David J. Harper, Gheorghe Muresan, Bicheng Liu, Ivan Koychev, Dietrich Wettschereck, Nirmalie Wiratunga:
The Robert Gordon University's HARD Track Experiments at TREC 2004. TREC 2004 - 2003
- [c10]Dietrich Wettschereck, Alípio Jorge
, Steve Moyle:
Visualization and Evaluation Support of Knowledge Discovery through the Predictive Model Markup Language. KES 2003: 493-501
1990 – 1999
- 1998
- [j3]Saso Dzeroski, Steffen Schulze-Kremer, Karsten R. Heidtke, Karsten Siems, Dietrich Wettschereck, Hendrik Blockeel:
Diterpene Structure Elucidation from 13CNMR Spectra with Inductive Logic Programming. Appl. Artif. Intell. 12(5): 363-383 (1998) - 1997
- [j2]Dietrich Wettschereck, David W. Aha, Takao Mohri:
A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms. Artif. Intell. Rev. 11(1-5): 273-314 (1997) - [c9]David W. Aha, Dietrich Wettschereck:
Case-Based Learning: Beyond Classification of Feature Vectors. ECML 1997: 329-336 - 1996
- [c8]Werner Emde, Dietrich Wettschereck:
Relational Instance-Based Learning. ICML 1996: 122-130 - [c7]Saso Dzeroski, Steffen Schulze-Kremer, Karsten R. Heidtke, Karsten Siems, Dietrich Wettschereck:
Applying ILP to Diterpene Structure Elucidation from 13C NMR Spectra. Inductive Logic Programming Workshop 1996: 41-54 - [c6]Stefan Wrobel, Dietrich Wettschereck, Edgar Sommer, Werner Emde:
Extensibility in Data Mining Systems. KDD 1996: 214-219 - 1995
- [j1]Dietrich Wettschereck, Thomas G. Dietterich:
An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms. Mach. Learn. 19(1): 5-27 (1995) - [c5]Dietrich Wettschereck, David W. Aha:
Weighting Features. ICCBR 1995: 347-358 - 1994
- [c4]Dietrich Wettschereck:
A Hybrid Nearest-Neighbor and Nearest-Hyperrectangle Algorithm. ECML 1994: 323-335 - 1993
- [c3]Dietrich Wettschereck, Thomas G. Dietterich:
Locally Adaptive Nearest Neighbor Algorithms. NIPS 1993: 184-191 - [c2]Thomas G. Dietterich, Dietrich Wettschereck, Christopher G. Atkeson, Andrew W. Moore:
Memory-Based Methods for Regression and Classification. NIPS 1993: 1165-1166 - 1991
- [c1]Dietrich Wettschereck, Thomas G. Dietterich:
Improving the Performance of Radial Basis Function Networks by Learning Center Locations. NIPS 1991: 1133-1140
Coauthor Index
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