Large margin cost-sensitive learning of conditional random fields

DOI10.1016/j.patcog.2010.05.013zbMath1209.68464OpenAlexW1967896185MaRDI QIDQ992002

Min-Young Kim

Publication date: 8 September 2010

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2010.05.013

zbMATH Keywords

conditional random fieldscost-sensitive learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (2)

Multiclass classification with potential function rules: margin distribution and generalization ⋮ Cost-sensitive support vector machine using randomized dual coordinate descent method for big class-imbalanced data classification

Uses Software

• CamVid

Cites Work

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• Support Vector Ordinal Regression
• Action categorization with modified hidden conditional random field
• Cost-sensitive boosting for classification of imbalanced data
• A closed-form reduction of multi-class cost-sensitive learning to weighted multi-class learning
• 10.1162/15324430260185628
• The sample complexity of pattern classification with neural networks: the size of the weights is more important than the size of the network
• 10.1162/153244302760200713
• Graphical models

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