"Factorized embeddings learns rich and biologically meaningful embedding ..."

Assya Trofimov et al. (2020)

> Home

Details and statistics

DOI: 10.1093/BIOINFORMATICS/BTAA488

access: closed

type: Journal Article

metadata version: 2024-08-04

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/bioinformatics/TrofimovCBPL20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bioinformatics/TrofimovCBPL20
Assya Trofimov, Joseph Paul Cohen, Yoshua Bengio, Claude Perreault, Sébastien Lemieux:
Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition. Bioinform. 36(Supplement-1): i417-i426 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.