Cargando…
Improving molecular representation learning with metric learning-enhanced optimal transport
Training data are usually limited or heterogeneous in many chemical and biological applications. Existing machine learning models for chemistry and materials science fail to consider generalizing beyond training domains. In this article, we develop a novel optimal transport-based algorithm termed MR...
Autores principales: | Wu, Fang, Courty, Nicolas, Jin, Shuting, Li, Stan Z. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140620/ https://www.ncbi.nlm.nih.gov/pubmed/37123438 http://dx.doi.org/10.1016/j.patter.2023.100714 |
Ejemplares similares
-
Enhanced Data Representation by Kernel Metric Learning for Dementia Diagnosis
por: Cárdenas-Peña, David, et al.
Publicado: (2017) -
Dynamic guided metric representation learning for multi-view clustering
por: Zheng, Tingyi, et al.
Publicado: (2022) -
A Metric for Evaluating Neural Input Representation in Supervised Learning Networks
por: Carrillo, Richard R., et al.
Publicado: (2018) -
Sparse Representation-Based Discriminative Metric Learning for Brain MRI Image Retrieval
por: Zhou, Guohua, et al.
Publicado: (2022) -
Task-dependent optimal representations for cerebellar learning
por: Xie, Marjorie, et al.
Publicado: (2023)