Bridging deep and multiple kernel learning: A review
T Wang, L Zhang, W Hu - Information Fusion, 2021 - Elsevier
Kernel methods and deep learning are two of the most currently remarkable machine
learning techniques that have achieved great success in many applications. Kernel methods …
learning techniques that have achieved great success in many applications. Kernel methods …
Mklpy: a python-based framework for multiple kernel learning
I Lauriola, F Aiolli - ar**
effective collaborative filtering techniques able to deal asymmetrically with unambiguous …
effective collaborative filtering techniques able to deal asymmetrically with unambiguous …
Boolean kernels for collaborative filtering in top-N item recommendation
In many personalized recommendation problems available data consists only of positive
interactions (implicit feedback) between users and items. This problem is also known as One …
interactions (implicit feedback) between users and items. This problem is also known as One …