Abstract
This chapter provides the background material and literature review for supervised sequence labelling. Section 2.1 briefly reviews supervised learning in general. Section 2.2 covers the classical, non-sequential framework of supervised pattern classification. Section 2.3 defines supervised sequence labelling, and describes the different classes of sequence labelling task that arise under different assumptions about the label sequences.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this chapter
Cite this chapter
Graves, A. (2012). Supervised Sequence Labelling. In: Supervised Sequence Labelling with Recurrent Neural Networks. Studies in Computational Intelligence, vol 385. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24797-2_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-24797-2_2
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24796-5
Online ISBN: 978-3-642-24797-2
eBook Packages: EngineeringEngineering (R0)