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Zhang et al., 2017 - Google Patents

Sequential labeling with structural SVM under nondecomposable losses

Zhang et al., 2017

Document ID
3767999390608115115
Author
Zhang G
Piccardi M
Borzeshi E
Publication year
Publication venue
IEEE transactions on neural networks and learning systems

External Links

Snippet

Sequential labeling addresses the classification of sequential data, which are widespread in fields as diverse as computer vision, finance, and genomics. The model traditionally used for sequential labeling is the hidden Markov model (HMM), where the sequence of class labels …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6279Classification techniques relating to the number of classes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06Q30/00Commerce, e.g. shopping or e-commerce
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    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
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