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Introduction

  • Alex GravesEmail author
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 385)

Abstract

In machine learning, the term sequence labelling encompasses all tasks where sequences of data are transcribed with sequences of discrete labels. Wellknown examples include speech and handwriting recognition, protein secondary structure prediction and part-of-speech tagging. Supervised sequence labelling refers specifically to those cases where a set of hand-transcribed sequences is provided for algorithm training.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of TorontoTorontoCanada

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