Multiview discriminative sequential learning (2005)
| Venue: | Proceedings of the European Conference on Machine Learning |
| Citations: | 7 - 1 self |
BibTeX
@INPROCEEDINGS{Brefeld05multiviewdiscriminative,
author = {Ulf Brefeld and Tobias Scheffer},
title = {Multiview discriminative sequential learning},
booktitle = {Proceedings of the European Conference on Machine Learning},
year = {2005},
pages = {60--71},
publisher = {Springer}
}
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
1 Introduction The problem of labeling observation sequences has applications that range fromlanguage processing tasks such as named entity recognition, part-of-speech tagging, and information extraction to biological tasks in which the instances areoften DNA strings. Traditionally, sequence models such as the hidden Markov model and variants thereof have been applied to the label sequence learningproblem. Learning procedures for generative models adjust the parameters such that the joint likelihood of training observations and label sequences is maxi-mized. By contrast, from the application point of view the true benefit of a label sequence predictor corresponds to its ability to find the correct label sequencegiven an observation sequence.
