PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Matti Kääriäinen

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Number of EPrints submitted by this user: 12

Selective Rademacher penalization and reduced error pruning of decision trees
Matti Kääriäinen, Tuomo Malinen and Tapio Elomaa
Journal of Machine Learning Research Volume 5, pp. 1107-1126, 2004. ISSN 1533-7928

Relating the Rademacher and VC Bounds
Matti Kääriäinen
(2004) Technical Report. Department of Computer Science, University of Helsinki, Helsinki, Finland.

Learning Small Trees and Graphs that Generalize
Matti Kääriäinen
(2004) PhD thesis, University of Helsinki.

Using Unlabeled Data in Generalization Error Bounds
Matti Kääriäinen
In: (Ab)use of Bounds, 18 Dec 2004, Whistler, Canada.

On Generalization Error Bounds Using Unlabeled Data
Matti Kääriäinen
(2005) Technical Report. University of Helsinki, Helsinki, Finland.

Generalization error bounds using unlabeled data
Matti Kääriäinen
The 18th Annual Conference on Learning Theory (COLT '05) pp. 127-142, 2005.

A Comparison of Tight Generalization Error Bounds
Matti Kääriäinen and John Langford
In: ICML 2005, 7-11 Aug 2005, Bonn, Germany.

Semi-Supervised Model Selection Based on Cross-Validation
Matti Kääriäinen
(2005) Technical Report. International Computer Science Institute, Berkeley, USA.

Semi-Supervised Model Selection Based on Cross-Validation
Matti Kääriäinen
In: IJCNN06, 16-21 July 2006, Vancouver, Canada.

Active Learning in the Non-realizable Case
Matti Kääriäinen
In: ALT 06, 7-10 Oct, 2006, Barcelona, Spain.

Practical Online Active Learning for Classification
Claire Monteleoni and Matti Kääriäinen
In: IEEE Conference on Computer Vision and Pattern Recognition, Online Learning and Classification Workshop, 2007, 18-23 June 2007, minneapolis, missisippi.

Combining Haplotypers
Matti Kääriäinen, Niels Landwehr, Sampsa Lappalainen and Taneli Mielikäinen
(2007) Technical Report. University of Helsinki, Helsinki, Finland.