Probabilistic outputs for a new multi-class Support Vector Machine
نویسندگان
چکیده
منابع مشابه
Probabilistic outputs for a new multi-class Support Vector Machine
Support Vector Machines are learning paradigm originally developed on the basis of a binary classification problem with signed outputs ±1. The aim of this work is to give a probabilistic interpretation to the numerical output values into a multi-classification learning problem framework. For this purpose, a recent SV Machine, called `-SVCR, addressed to avoid the lose of information occurred in...
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ژورنال
عنوان ژورنال: INTELIGENCIA ARTIFICIAL
سال: 2002
ISSN: 1988-3064,1137-3601
DOI: 10.4114/ia.v6i17.735