Matching Component Analysis for Transfer Learning | Zendy

C. Clum | Zendy; Dustin G. Mixon | Zendy; Theresa Scarnati | Zendy

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Matching Component Analysis for Transfer Learning

Author(s) -

C. Clum,

Dustin G. Mixon,

Theresa Scarnati

Publication year - 2020

Publication title -

siam journal on mathematics of data science

Language(s) - English

Resource type - Journals

ISSN - 2577-0187

DOI - 10.1137/19m1285123

Subject(s) - component (thermodynamics) , transfer of learning , matching (statistics) , computer science , component analysis , sample complexity , transfer (computing) , sample (material) , artificial intelligence , machine learning , mathematics , statistics , physics , parallel computing , thermodynamics

We introduce a new Procrustes-type method called matching component analysis to isolate components in data for transfer learning. Our theoretical results describe the sample complexity of this method, and we demonstrate through numerical experiments that our approach is indeed well suited for transfer learning.

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