Matti Kääriäinen

Affiliations:
  • University of Helsinki, Finland


According to our database1, Matti Kääriäinen authored at least 15 papers between 2001 and 2009.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2009
Sinuhe - Statistical Machine Translation using a Globally Trained Conditional Exponential Family Translation Model.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Sinuhe - statistical machine translation with a globally trained conditional exponential family translation model.
Proceedings of the Workshop on Statistical Multilingual Analysis for Retrieval and Translation, 2009

2007
Combining haplotypers
CoRR, 2007

Practical Online Active Learning for Classification.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Semi-Supervised Model Selection Based on Cross-Validation.
Proceedings of the International Joint Conference on Neural Networks, 2006

Active Learning in the Non-realizable Case.
Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006

2005
A comparison of tight generalization error bounds.
Proceedings of the Machine Learning, 2005

Generalization Error Bounds Using Unlabeled Data.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

2004
Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees.
J. Mach. Learn. Res., 2004

The Difficulty of Reduced Error Pruning of Leveled Branching Programs.
Ann. Math. Artif. Intell., 2004

2003
Reduced Error Pruning of branching programs cannot be approximated to within a logarithmic factor.
Inf. Process. Lett., 2003

Rademacher Penalization over Decision Tree Prunings.
Proceedings of the Machine Learning: ECML 2003, 2003

2002
Progressive Rademacher Sampling.
Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence, July 28, 2002

2001
An Analysis of Reduced Error Pruning.
J. Artif. Intell. Res., 2001

On the Practice of Branching Program Boosting.
Proceedings of the Machine Learning: EMCL 2001, 2001


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