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Conference Papers Year : 2013

Conformity-Based Transfer AdaBoost Algorithm

Shuang Zhou
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  • PersonId : 1000636
Evgueni N. Smirnov
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Haitham Bou Ammar
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Ralf Peeters
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  • PersonId : 885024

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.
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hal-01459635 , version 1 (07-02-2017)

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Shuang Zhou, Evgueni N. Smirnov, Haitham Bou Ammar, Ralf Peeters. Conformity-Based Transfer AdaBoost Algorithm. 9th Artificial Intelligence Applications and Innovations (AIAI), Sep 2013, Paphos, Greece. pp.401-410, ⟨10.1007/978-3-642-41142-7_41⟩. ⟨hal-01459635⟩
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