Deep Restricted Kernel Machines: Methods and Foundations
From 01-01-2017 to 31-12-2020
Description
This research proposal entitled "Deep Restricted Kernel Machines: Methods and Foundations" is related to two main directions in the field of machine learning:- deep learning- support vector machines and kernel methods
This project aims at an in-depth study of the recently proposed "Deep Restricted Kernel Machines" (Deep RKM). A method of conjugate feature duality is used to obtain a representation in terms of visible and hidden units. In this way the class of restricted kernel machines can be linked to restricted Boltzmann machines, which do not contain hidden-to-hidden connections. Deep RKM is obtained by coupling the restricted kernel machines over different levels.The main objectives of the proposal are- to investigate the duality principles- to extend the class of restricted kernel machine models- to explore different coupling schemes and obtain efficient learning rules- to develop methods for large scale problems and big data.The project intends to achieve a new powerful class of machine learning techniques for supervised, unsupervised and semi-supervised learning, and contribute to setting new foundations both for deep learning and for support vector machines and kernel methods.
Team
- Johan Suykens, Promoter
Financing
Funding: FWO - Research Foundation - Flanders
Program/Grant Type: FWO Project - FWO Research Project
Events
2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery
3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery
12/09/2024:
Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers
News
STADIUS Alumni Herman Verrelst – new CEO of Biocartis
08 June 2017
Herman Verrelst, the founder of KU Leuven spin-off Cartagenia, who has been working in Silicon Valley, US for the last few years will be returning to Belgium to follow the steps of Rudi Pauwels as CEO of the Belgian diagnostic company, Biocartis.
Supporting healthcare policymaking via machine learning – batteries included!
29 May 2017
STADIUS takes the lead in the data analytics efforts in an ambitious European Project MIDAS.
Marc Claesen gives an interview about his PhD for the magazine of the Faculty of Engineering Sciences "Geniaal"
10 February 2017
Did you know that in Belgium approximately one third of type 2 diabetes patients are unaware of their condition?
Joos Vandewalle is nieuwe voorzitter KVAB
09 October 2016
Op 5 oktober 2016 heeft de Algemene Vergadering van de Academie KVAB Joos Vandewalle verkozen tot voorzitter van de KVAB.