Search Results for author:
Found 6 papers, 3 papers with code
Learning primal-dual sparse kernel machines
In this paper, instead of using the traditional representer theorem, we propose to search for a solution in RKHS that has a pre-image decomposition in the original data space, where the elements don't necessarily correspond to the elements in the training set.
AMU-EURANOVA at CASE 2021 Task 1: Assessing the stability of multilingual BERT
This paper explains our participation in task 1 of the CASE 2021 shared task.
Multilingual enrichment of disease biomedical ontologies
Translating biomedical ontologies is an important challenge, but doing it manually requires much time and money.
Cross-view kernel transfer
We consider the kernel completion problem with the presence of multiple views in the data.
Multi-view Metric Learning in Vector-valued Kernel Spaces
We consider the problem of metric learning for multi-view data and present a novel method for learning within-view as well as between-view metrics in vector-valued kernel spaces, as a way to capture multi-modal structure of the data.
On multi-class learning through the minimization of the confusion matrix norm
Indeed, recent results show that using the norm of the confusion matrix as an error measure can be quite interesting due to the fine-grain informations contained in the matrix, especially in the case of imbalanced classes.
