Generalizing Labeled and Unlabeled Sample Compression to Multi-label Concept Classes

DOI10.1007/978-3-319-11662-4_20zbMath1432.68398OpenAlexW41530335MaRDI QIDQ2938738

Boting Yang, Sandra Zilles, Rahim Samei

Publication date: 14 January 2015

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-11662-4_20

zbMATH Keywords

graph dimensionsample compressionmulti-label class

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Coding and information theory (compaction, compression, models of communication, encoding schemes, etc.) (aspects in computer science) (68P30)

Related Items (4)

Unlabeled sample compression schemes and corner peelings for ample and maximum classes ⋮ Inclusion matrices for rainbow subsets ⋮ Unnamed Item ⋮ Labeled Compression Schemes for Extremal Classes

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