Conformity-Based Transfer AdaBoost Algorithm
Abstract
This paper proposes to consider the region classification task in the context of instance-transfer learning. The proposed solution consists of the conformal algorithm that employs a nonconformity function learned by the Transfer AdaBoost algorithm. The experiments showed that our approach results in valid class regions. In addition the conditions when instance transfer can improve learning are empirically derived.
Domains
Computer Science [cs]| Origin | Files produced by the author(s) |
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