Locally linear reconstruction for instance-based learning

DOI10.1016/j.patcog.2008.04.009zbMath1167.68424OpenAlexW2011809255MaRDI QIDQ941602

Pilsung Kang, Sungzoon Cho

Publication date: 1 September 2008

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.04.009

zbMATH Keywords

weight allocation\(k\)-nearest neighborlocal reconstructioninstance-based learningmemory-based reasoning

Mathematics Subject Classification ID

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

Related Items (5)

An incremental classification algorithm for mining data with feature space heterogeneity ⋮ Multivariate Control Charts Based on Hybrid Novelty Scores ⋮ On the study of nearest neighbor algorithms for prevalence estimation in binary problems ⋮ A hybrid novelty score and its use in keystroke dynamics-based user authentication ⋮ Comparison of Novelty Score-Based Multivariate Control Charts

Uses Software

• kknn

Cites Work

• Matrix multiplication via arithmetic progressions
• Estimation of dependences based on empirical data. Transl. from the Russian by Samuel Kotz
• On curve estimation by minimizing mean absolute deviation and its implications
• 10.1162/153244304322972667
• Moving local regression: The weight function
• A Nonparametric Estimate of a Multivariate Density Function
• Generalized Minkowski metrics for mixed feature-type data analysis
• Nearest neighbor pattern classification
• The elements of statistical learning. Data mining, inference, and prediction
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