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An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification
This paper studies multi-label classification problem in which data instances are associated with multiple, possibly high-dimensional, label vectors. This problem is especially challenging when labels are dependent and one cannot decompose the problem into a set of independent classification problem...
שמור ב:
| הוצא לאור ב: | Proc SIAM Int Conf Data Min |
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| Main Authors: | , , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2014
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4410807/ https://ncbi.nlm.nih.gov/pubmed/25927015 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1137/1.9781611973440.113 |
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