no code implementations • 13 Feb 2023 • Penghao Jiang, Ke Xin, Chunxi Li
To solve data sparsity problem in multiview ratings, we propose a generic architecture of deep transfer tensor factorization (DTTF) by integrating deep learning and cross-domain tensor factorization, where the side information is embedded to provide effective compensation for the tensor sparsity.
no code implementations • 30 Jan 2023 • Penghao Jiang, Xin Ke, Zifeng Wang, Chunxi Li
However, learning such a model is not possible in standard machine learning frameworks as the distribution of the test data is unknown.
no code implementations • 26 Jan 2023 • Penghao Jiang, Ke Xin, Zifeng Wang, Chunxi Li
Modern deep learning techniques have illustrated their excellent capabilities in many areas, but relies on large training data.