Sparse conformal prediction for dissimilarity data

DOI10.1007/s10472-014-9402-1zbMath1331.68193OpenAlexW2081615088MaRDI QIDQ2352372

Xibin Zhu, Frank-Michael Schleif, Barbara Hammer

Publication date: 1 July 2015

Published in: Annals of Mathematics and Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10472-014-9402-1

zbMATH Keywords

supervised learningprototype learningsparsityproximity dataconformal prediction

Mathematics Subject Classification ID

Parametric tolerance and confidence regions (62F25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• LVQ_PAK
• ExPASy

Cites Work

• A unified approach to pattern recognition
• Machine learning: ECML 2002. 13th European conference, Helsinki, Finland, August 19--23, 2002. Proceedings
• On the information and representation of non-Euclidean pairwise data
• Experimental study on prototype optimisation algorithms for prototype-based classification in vector spaces
• Prototype selection for dissimilarity-based classifiers
• Regression Conformal Prediction with Nearest Neighbours
• Topographic Mapping of Large Dissimilarity Data Sets
• The Dissimilarity Representation for Pattern Recognition
• Algorithms on Strings, Trees and Sequences
• Dissimilarity representations allow for building good classifiers
• Soft Learning Vector Quantization
• Structural, Syntactic, and Statistical Pattern Recognition
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