Machine learning methods are becoming increasingly important in the analysis of large-scale genomic, epigenomic, proteomic and metabolic data sets. In this Review, the authors consider the ...

For a supervised machine learning project, you will need to label the data in a meaningful way for the outcome you are seeking. In Table 1, note that each row of the house record includes a label ...

Classification is an important machine learning technique that attracts growing interests in various manufacturing applications. Learning an accurate classifier generally requires a large-scale ...

Using machine learning, Text Analytics & Sentiment Analysis automatically analyzes open-ended feedback (such as survey comments) to reveal measurable, actionable insights. These new features include: ...

But what if we could generate high-quality soft labels without relying on a large teacher model or costly crowd-sourcing? This intriguing question spurred the development of a novel approach called ...