MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Manqing Dong, Lina Yao, Xianzhi Wang 0001, Xiwei Xu, Liming Zhu 0001. MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. In James Bailey 0001, Pauli Miettinen, Yun Sing Koh, Dacheng Tao, Xindong Wu 0001, editors, IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021. pages 101-110, IEEE, 2021. [doi]

This author has not been identified. Look up 'Manqing Dong' in GoogleThis author has not been identified. Look up 'Lina Yao' in GoogleThis author has not been identified. Look up 'Xianzhi Wang 0001' in GoogleThis author has not been identified. Look up 'Xiwei Xu' in GoogleThis author has not been identified. Look up 'Liming Zhu 0001' in Google

runs on WebDSL