Mar 26, 2014 · Multi-view learning aims to improve classification performance by leveraging the consistency among different views of data.
In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 270–274, Jeju Island, Korea.
The central idea is to strengthen the views' consistency on target data by identifying the associations of domain-specific features from different domains. We ...
This paper presents an Information-theoretic Multi-view Adaptation Model (IMAM) using a multi-way clustering scheme, where word and link clusters can draw ...
The central idea is to strengthen the views' consistency on target data by identifying the associations of domain-specific features from different domains. We ...
We present an Information-theoretic Multi-view Adaptation Model (IMAM)using ... domain adaptation withmultiple views of data needs to be investigated carefully.
Jul 8, 2012 · We use multiple views for cross-domain doc- ument classification. The main idea is to strengthen the views' consistency for target.
The main idea is to strengthen the views' consistency for target data with source training data by identifying the correlations of domain-specific features from ...
Information-theoretic Multi-view Domain Adaptation. ACL 2012 · Pei Yang, Wei Gao, Qi Tan, Kam-Fai Wong · Edit social preview. PDF Abstract. Code. Edit.
Here we adopt an information-theoretic approach to identify and resolve the potential adverse effect of the multiple domain discriminators on MDA: disintegra-.
Missing: view | Show results with:view