In this paper, we propose a latent elastic-net transfer learning (LET) method by simultaneously learning a latent subspace and a discriminative subspace. Specifically, the data from different domains can be well interlaced in the latent subspace by minimizing Maximum Mean Discrepancy (MMD).
Nov 15, 2019 · In this paper, we propose a latent elastic-net transfer learning (LET) method by simultaneously learning a latent subspace and a discriminative ...
In this paper, we propose a latent elastic-net transfer learning (LET) method by simultaneously learning a latent subspace and a ...
In this paper, we propose a latent elastic-net transfer learning (LET) method by simultaneously learning a latent subspace and a discriminative subspace.
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Jun 5, 2024 · We study transfer learning for estimation in latent variable network models. In our setting, the conditional edge probability matrices given the latent ...
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Jun 14, 2024 · We propose an approach for learning neural operators in latent spaces, facilitating real-time predictions for highly nonlinear and multiscale ...
A latent elastic-net transfer learning (LET) method by simultaneously learning a latent subspace and a discriminative subspace to learn another subspace in ...
We utilize transfer learning to extract coordinated expression patterns and use learned patterns to analyze small rare disease datasets.
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