Learning from Multiple Graphs using a ...

Document type :
Communication dans un congrès avec actes
Title :
Learning from Multiple Graphs using a Sigmoid Kernel
Author(s) :
Ricatte, Thomas [Auteur]
Machine Learning in Information Networks [MAGNET]
Garriga, Gemma [Auteur]
Machine Learning in Information Networks [MAGNET]
Gilleron, Rémi [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Machine Learning in Information Networks [MAGNET]
Tommasi, Marc [Auteur] refId
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Machine Learning in Information Networks [MAGNET]
Conference title :
The 12th International Conference on Machine Learning and Applications (ICMLA'13)
City :
Miami
Country :
Etats-Unis d'Amérique
Start date of the conference :
2013-12-04
Publication date :
2013-12-04
HAL domain(s) :
Informatique [cs]/Intelligence artificielle [cs.AI]
English abstract : [en]
This paper studies the problem of learning from a set of input graphs, each of them representing a different relation over the same set of nodes. Our goal is to merge those input graphs by embedding them into an Euclidean ...
Show more >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
Harvested from HAL
Files
Thumbnail
Thumbnail