کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
529891 869719 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multilabel predictions with sets of probabilities: The Hamming and ranking loss cases
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Multilabel predictions with sets of probabilities: The Hamming and ranking loss cases
چکیده انگلیسی


• We consider the problem of multilabel prediction with probability sets.
• We show that efficient approximations can be obtained for the Hamming loss.
• We show that efficient approximations can be obtained for the ranking loss.
• We perform first experiments confirming the expected behaviour of the approximations.

In this paper, we study how multilabel predictions can be obtained when our uncertainty is described by a convex set of probabilities. Such predictions, typically consisting of a set of potentially optimal decisions, are hard to make in large decision spaces such as the one considered in multilabel problems. However, we show that when considering the Hamming or the ranking loss, outer-approximating predictions can be efficiently computed from label-wise information, as in the precise case. We also perform some first experiments showing the behaviour of the partial predictions obtained through these approximations. Such experiments also confirm that predictions become partial on those labels where the precise prediction is likely to make an error.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 48, Issue 11, November 2015, Pages 3757–3765
نویسندگان
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