Effects of domain characteristics on instance-based learning algorithms.
type: Item
instance of: scholarly article
title: Effects of domain characteristics on instance-based learning algorithms.
zbMATH Open document ID: 1038.68058
DOI: 10.1016/S0304-3975(02)00424-3
author: Seishi Okamoto
author: Nobuhiro Yugami
published in: Theoretical Computer Science
publication date: 2003-05-22T00:00:00Z
Mathematics Subject Classification ID: 68Q32
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 1915307
zbMATH Keywords: instance-based learning
zbMATH Keywords: \(k\)-nearest neighbor classifier
zbMATH Keywords: average-case analysis
zbMATH Keywords: expected accuracy
zbMATH Keywords: optimal value of \(k\)
MaRDI profile type: Publication
cites work: Q3493251
cites work: A Note on Distance-Weighted k-Nearest Neighbor Rules
cites work: Estimation by the nearest neighbor rule
cites work: Nearest neighbor pattern classification
cites work: Q4403756
cites work: Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties
cites work: Computational limitations on learning from examples
cites work: Q4013738
cites work: A theory of the learnable
description: scientific article; zbMATH DE number 1915307