Solving Multiclass Learning Problems via Error-Correcting Output Codes

Abstract

Multiclass learning problems involve nding a de nition for an unknown function f(x) whose range is a discrete set containing k > 2 values (i.e., k \classes"). The de nition is acquired by studying collections of training examples of the form hxi; f(xi)i. Existing approaches to multiclass learning problems include direct application of multiclass algorithms… (More)
DOI: 10.1613/jair.105

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