Learning half-spaces on general infinite spaces equipped with a distance function

被引:0
|
作者
Ratsaby, Joel [1 ]
机构
[1] Ariel Univ, Ariel, Israel
关键词
VC-dimension; Pseudo-dimension; Independence number; Dual VC-dimension; Regular n-simplex; Non-metric space; Distance space; Learning with large margin (width); CLASSIFICATION; COMPLEXITY; BOUNDS; WIDTH;
D O I
10.1016/j.ic.2023.105008
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
For a general infinite distance space chi, with no assumptions about the distance function, which need not satisfy the metric axioms, it is not clear what the VC-dimension of the class Hof half-spaces in chi may be and if there are generalization error bounds for learning H. We define a combinatorial dimension of chi to be the independence number of the class of balls in chi. We compute it for Euclidean space and for several non-metric distance spaces. Using this dimension, we are able to provide a generalization error bound for learning Hover any infinite distance space chi. (c) 2023 Elsevier Inc. All rights reserved.
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页数:17
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