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On the optimal decision rule for sequential interactive structured prediction

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On the optimal decision rule for sequential interactive structured prediction

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Alabau, V.; Sanchis Navarro, JA.; Casacuberta Nolla, F. (2012). On the optimal decision rule for sequential interactive structured prediction. Pattern Recognition Letters. 33(16):2226-2231. doi:10.1016/j.patrec.2012.07.010

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/40331

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Title: On the optimal decision rule for sequential interactive structured prediction
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] Interactive structured prediction (ISP) is an emerging framework for structured prediction (SP) where the user and the system collaborate to produce a high quality output. Typically, search algorithms applied to ISP ...[+]
Subjects: Interactive pattern recognition , Minimum Bayes risk , Machine translation , Handwritten text recognition , Automatic speech recognition
Copyrigths: Reserva de todos los derechos
Source:
Pattern Recognition Letters. (issn: 0167-8655 )
DOI: 10.1016/j.patrec.2012.07.010
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.patrec.2012.07.010
Project ID: info:eu-repo/grantAgreement/EC/FP7/287576
Description: This is the author’s version of a work that was accepted for publication in Pattern Recognition Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Pattern Recognition Letters [Volume 33, Issue 16, 1 December 2012, Pages 2226–2231] DOI: 10.1016/j.patrec.2012.07.010
Thanks:
The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under Grant agreement no. 287576 (CasMaCat), and from the Spanish MEC/MICINN under the MIPRCV ...[+]
Type: Artículo

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