Semisupervised Multitask Learning

@article{Liu2009SemisupervisedML,
  title={Semisupervised Multitask Learning},
  author={Qiuhua Liu and Xuejun Liao and Hui Li and Jason R. Stack and Lawrence Carin},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2009},
  volume={31},
  pages={1074-1086}
}
Context plays an important role when performing classification, and in this paper we examine context from two perspectives. First, the classification of items within a single task is placed within the context of distinct concurrent or previous classification tasks (multiple distinct data collections). This is referred to as multi-task learning (MTL), and is implemented here in a statistical manner, using a simplified form of the Dirichlet process. In addition, when performing many… CONTINUE READING
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