Tapio Elomaa
Tapio Elomaa
Professor of Computer Science, Tampere University, Finland
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Zitiert von
Zitiert von
General and efficient multisplitting of numerical attributes
T Elomaa, J Rousu
Machine learning 36, 201-244, 1999
An analysis of reduced error pruning
T Elomaa, M Kaariainen
Journal of Artificial Intelligence Research 15, 163-187, 2001
Multi-target regression with rule ensembles.
T Aho, B Ženko, S Džzeroski, T Elomaa, C Brodley
Journal of Machine Learning Research 13 (8), 2012
Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates
T Elomaa, J Rousu
Data Mining and Knowledge Discovery 8, 97-126, 2004
In defense of C4. 5: Notes on learning one-level decision trees
T Elomaa
Machine Learning Proceedings 1994, 62-69, 1994
Flexible view recognition for indoor navigation based on Gabor filters and support vector machines
I Autio, T Elomaa
Pattern recognition 36 (12), 2769-2779, 2003
The biases of decision tree pruning strategies
T Elomaa
International Symposium on Intelligent Data Analysis, 63-74, 1999
Selective Rademacher penalization and reduced error pruning of decision trees
M Kääriäinen, T Malinen, T Elomaa
The Journal of Machine Learning Research 5, 1107-1126, 2004
Forecasting sales in industrial services: Modeling business potential with installed base information
K Stormi, T Laine, P Suomala, T Elomaa
Journal of Service Management 29 (2), 277-300, 2018
A geometric approach to feature selection
T Elomaa, E Ukkonen
Machine Learning: ECML-94: European Conference on Machine Learning Catania …, 1994
Covering analysis of the greedy algorithm for partial cover
T Elomaa, J Kujala
Algorithms and Applications: Essays Dedicated to Esko Ukkonen on the …, 2010
A walk from 2-norm SVM to 1-norm SVM
J Kujala, T Aho, T Elomaa
2009 Ninth IEEE International Conference on Data Mining, 836-841, 2009
Principles of Data Mining and Knowledge Discovery: 6th European Conference, PKDD 2002, Helsinki, Finland, August 19–23, 2002, Proceedings
T Elomaa, H Mannila, H Toivonen
Springer, 2003
On lookahead heuristics in decision tree learning
T Elomaa, T Malinen
Foundations of Intelligent Systems: 14th International Symposium, ISMIS 2003 …, 2003
Progressive rademacher sampling
T Elomaa, M Kääriäinen
AAAI/IAAI, 140-145, 2002
Finding optimal multi-splits for numerical attributes in decision tree learning
T Elomaa, J Rousu
Technical Report NC-TR-96-041, Royal Holloway, University of London, 1996 …, 1996
A voronoi diagram approach to autonomous clustering
H Koivistoinen, M Ruuska, T Elomaa
Discovery Science: 9th International Conference, DS 2006, Barcelona, Spain …, 2006
On Autonomous k-Means Clustering
T Elomaa, H Koivistoinen
International Symposium on Methodologies for Intelligent Systems, 228-236, 2005
An experimental comparison of inducing decision trees and decision lists in noisy domains
T Elomaa, N Holsti
Proceedings of the Fourth European Working Session on Learning, Montpelier …, 1989
On the Well-Behavedness of Important Attribute Evaluation Functions.
T Elomaa, J Rousu
SCAI 97, 95-106, 1997
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