کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
532501 869963 2011 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-label classification and extracting predicted class hierarchies
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Multi-label classification and extracting predicted class hierarchies
چکیده انگلیسی

This paper investigates hierarchy extraction from results of multi-label classification (MC). MC deals with instances labeled by multiple classes rather than just one, and the classes are often hierarchically organized. Usually multi-label classifiers rely on a predefined class hierarchy. A much less investigated approach is to suppose that the hierarchy is unknown and to infer it automatically. In this setting, the proposed system classifies multi-label data and extracts a class hierarchy from multi-label predictions. It is based on a combination of a novel multi-label extension of the fuzzy Adaptive Resonance Associative Map (ARAM) neural network with an association rule learner.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 44, Issue 3, March 2011, Pages 724–738
نویسندگان
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