SVM Classifier Estimation from Group Probabilities

@inproceedings{Rping2010SVMCE,
  title={SVM Classifier Estimation from Group Probabilities},
  author={Stefan R{\"u}ping},
  booktitle={ICML},
  year={2010}
}
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that lies somewhere between the well-known tasks of supervised and unsupervised learning, in the sense that for a set of observations we do not know the labels, but for some groups of observations, the frequency distribution of the label is known. This learning problem has important practical applications, for example in… CONTINUE READING
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