Multi-label classification using error correcting output codes
نویسندگان
چکیده
منابع مشابه
Multi-label classification using error correcting output codes
A framework for multi-label classification extended by Error Correcting Output Codes (ECOCs) is introduced and empirically examined in the article. The solution assumes the base multi-label classifiers to be a noisy channel and applies ECOCs in order to recover the classification errors made by individual classifiers. The framework was examined through exhaustive studies over combinations of th...
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When a sample belongs to more than one label from a set of available classes, the classification problem (known as multi-label classification) turns to be more complicated. Text data, widely available nowadays in the world wide web, is an obvious instance example of such a task. This paper presents a new method for multi-label text categorization created by modifying the Error-Correcting Output...
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ژورنال
عنوان ژورنال: International Journal of Applied Mathematics and Computer Science
سال: 2012
ISSN: 2083-8492,1641-876X
DOI: 10.2478/v10006-012-0061-2