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Transfer Learning with BIG Method by Muthumanikandan Hariraman is a document available to read on EtoBox.

What is Transfer Learning with BIG Method about?

This document proposes a novel transfer learning approach called BIG (Bridging Information Gap) to improve classification performance across domains that have different distributions but share feature spaces. BIG extracts useful knowledge from a worldwide knowledge base to link the source and target domains. This "bridge" then allows cross-domain text classification using standard semi-supervised learning. The approach outperforms existing domain adaptation methods, especially when domain differences are la

Author

Muthumanikandan Hariraman

Language

EN