Bayesian Multitask Learning with Latent Hierarchies

Details Bayesian Multitask Learning with Latent Hierarchies Bayesian Multitask Learning with Latent Hierarchies

2009-07-04

arxiv.org/abs/0907.0783v1

Computer Science

Learning

Scientific paper

We learn multiple hypotheses for related tasks under a latent hierarchical relationship between tasks. We exploit the intuition that for domain adaptation, we wish to share classifier structure, but for multitask learning, we wish to share covariance structure. Our hierarchical model is seen to subsume several previously proposed multitask learning models and performs well on three distinct real-world data sets.

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