Loading…
Wasserstein t-SNE
Bachmann, Fynn, Hennig, Philipp, Kobak, Dmitry
Published in Machine Learning and Knowledge Discovery in Databases (2023)
Published in Machine Learning and Knowledge Discovery in Databases (2023)
Get full text
Book Chapter
Loading…
Loading…
Loading…
Loading…
Graph Diffusion Wasserstein Distances
Barbe, Amélie, Sebban, Marc, Gonçalves, Paulo, Borgnat, Pierre, Gribonval, Rémi
Published in Machine Learning and Knowledge Discovery in Databases (2021)
Published in Machine Learning and Knowledge Discovery in Databases (2021)
Get full text
Book Chapter
Loading…
Loading…
Loading…
Loading…
Pattern or Artifact? Interactively Exploring Embedding Quality with TRACE
Heiter, Edith, Martens, Liesbet, Seurinck, Ruth, Guilliams, Martin, De Bie, Tijl, Saeys, Yvan, Lijffijt, Jefrey
Published in Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track (2024)
Published in Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track (2024)
Get full text
Book Chapter
Loading…
Data Patterns Explained with Linked Data
Tiddi, Ilaria, d’Aquin, Mathieu, Motta, Enrico
Published in Machine Learning and Knowledge Discovery in Databases (2015)
Published in Machine Learning and Knowledge Discovery in Databases (2015)
Get full text
Book Chapter
Loading…
Deep Reinforcement Learning for Large-Scale Epidemic Control
Libin, Pieter J. K., Moonens, Arno, Verstraeten, Timothy, Perez-Sanjines, Fabian, Hens, Niel, Lemey, Philippe, Nowé, Ann
Published in Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track (2021)
Published in Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track (2021)
Get full text
Book Chapter
Loading…
Loading…