Learning Classification with Auxiliary Probabilistic Information

@article{Nguyen2011LearningCW,
  title={Learning Classification with Auxiliary Probabilistic Information},
  author={Quang Nguyen and Hamed Valizadegan and Milos Hauskrecht},
  journal={2011 IEEE 11th International Conference on Data Mining},
  year={2011},
  pages={477-486}
}
Finding ways of incorporating auxiliary information or auxiliary data into the learning process has been the topic of active data mining and machine learning research in recent years. In this work we study and develop a new framework for classification learning problem in which, in addition to class labels, the learner is provided with an auxiliary (probabilistic) information that reflects how strong the expert feels about the class label. This approach can be extremely useful for many… CONTINUE READING
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