Tapio Elomaa
Tapio Elomaa
Unknown affiliation
Verified email at tut.fi - Homepage
Title
Cited by
Cited by
Year
General and efficient multisplitting of numerical attributes
T Elomaa, J Rousu
Machine learning 36 (3), 201-244, 1999
2121999
An analysis of reduced error pruning
T Elomaa, M Kaariainen
Journal of Artificial Intelligence Research 15, 163-187, 2001
1272001
Multi-target regression with rule ensembles
T Aho, B Ženko, S Džeroski, T Elomaa
The Journal of Machine Learning Research 13 (1), 2367-2407, 2012
762012
Efficient multisplitting revisited: Optima-preserving elimination of partition candidates
T Elomaa, J Rousu
Data Mining and Knowledge Discovery 8 (2), 97-126, 2004
592004
In defense of C4. 5: Notes on learning one-level decision trees
T Elomaa
Machine Learning Proceedings 1994, 62-69, 1994
481994
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
352003
The biases of decision tree pruning strategies
T Elomaa
International Symposium on Intelligent Data Analysis, 63-74, 1999
291999
Selective Rademacher penalization and reduced error pruning of decision trees
M Kääriäinen, T Malinen, T Elomaa
Journal of Machine Learning Research 5 (Sep), 1107-1126, 2004
272004
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
192009
A geometric approach to feature selection
T Elomaa, E Ukkonen
European Conference on Machine Learning, 351-354, 1994
191994
Elicitation of Sugeno integrals: A version space learning perspective
H Prade, A Rico, M Serrurier
International Symposium on Methodologies for Intelligent Systems, 392-401, 2009
172009
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
171996
Progressive rademacher sampling
T Elomaa, M Kääriäinen
AAAI/IAAI, 140-145, 2002
162002
On the Well-Behavedness of Important Attribute Evaluation Functions.
T Elomaa, J Rousu
SCAI, 95-106, 1997
151997
On lookahead heuristics in decision tree learning
T Elomaa, T Malinen
International Symposium on Methodologies for Intelligent Systems, 445-453, 2003
142003
Necessary and sufficient pre-processing in numerical range discretization
T Elomaa, J Rousu
Knowledge and Information Systems 5 (2), 162-182, 2003
142003
A voronoi diagram approach to autonomous clustering
H Koivistoinen, M Ruuska, T Elomaa
International Conference on Discovery Science, 149-160, 2006
132006
On autonomous K-Means clustering
T Elomaa, H Koivistoinen
International Symposium on Methodologies for Intelligent Systems, 228-236, 2005
132005
Generalizing boundary points
T Elomaa, J Rousu
AAAI/IAAI, 570-576, 2000
132000
Predicting the speed of beer fermentation in laboratory and industrial scale
J Rousu, T Elomaa, R Aarts
International Work-Conference on Artificial Neural Networks, 893-901, 1999
131999
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