Learning feature dependencies for noise correction in biomedical prediction
The presence of noise or errors in the stated feature values of biomedical data can lead to incorrect prediction. We introduce a Bayesian Network-based Noise Correction framework named BN-NC. After data preprocessing, a Bayesian Network (BN) is learned to capture the feature dependencies. Using the...
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| المؤلفون الرئيسيون: | , , |
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| التنسيق: | text |
| اللغة: | English |
| منشور في: |
Institutional Knowledge at Singapore Management University
2011
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ink.library.smu.edu.sg/sis_research/3661 https://ink.library.smu.edu.sg/context/sis_research/article/4663/viewcontent/YapTanPangHH_2011_LearningFeatureDependNoiseCorrectBiomedical_afv.pdf |
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