One-Shot Learning with a Hierarchical Nonparametric Bayesian Model
We develop a hierarchical Bayesian model that learns to learn categories from single training examples. The model transfers acquired knowledge from previously learned categories to a novel category, in the form of a prior over category means and variances. The model discovers how to group categories...
| Main Authors: | , , |
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| Other Authors: | |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/60025 |