Title:
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Spectral regularization for max-margin sequence tagging
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Author:
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Quattoni, Ariadna; Balle, Borja; Carreras Pérez, Xavier; Globerson, Amir
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Abstract:
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We frame max-margin learning of latent variable structured prediction models as a convex optimization problem, making use of scoring functions computed by input-output observable operator models. This learning problem can be expressed as an optimization problem involving a low-rank Hankel matrix that represents the inputoutput operator model. The direct outcome of our work is a new spectral regularization method for max-margin structured prediction. Our experiments confirm that our proposed regularization framework leads to an effective way of controlling the capacity of structured prediction models. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic -Machine learning -Aprenentatge automàtic |
Rights:
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Document type:
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Article - Published version Conference Object |
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