Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization

By Hua Wang, Heng Huang, Feiping Nie, Chris H. Q. Ding. 2011

83 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Mingsheng Long
2. Jianmin Wang
3. Qiang Yang
4. Chengqi Zhang
5. Kate Saenko
6. Guiguang Ding
7. Gabriella Csurka
8. Xingquan Zhu

In Molecular Biology

1. Chengqi Zhang
2. Qiang Yang
3. Xingquan Zhu
4. Meng Fang
5. Jianmin Wang
6. Jie Yin
7. Mingsheng Long
8. Shirui Pan

Citations in the corpus

• TrGraph: Cross-Network Transfer Learning via Common Signature Subgraphs (2015, background): “Transfer learning is a machine learning paradigm which aims at borrowing knowledge from a related domain to help build an accurate classifier in the target domain, where the labeled data in the target domain is very limited [9].”
• Transfer Learning with Graph Co-Regularization (2012, background): “, maximizing embedded variance or minimizing reconstruction error [8], [9], [10], [11], [3], [12]; and 2) preserving the geometric structure, i.”