SVM-Theory - Support vector machines and kernel methods : theory, algorithms and applications
From 01-01-2002 to 31-12-2005
Description
SVM and kernel based methods are promising techniques for the future. This follows from our own research experience and recent attention and impact of these methods in several areas such as neural networks, datamining machine learning, signal processing, statistics, circuits and systems theory, system identification, control theory and mathematics. The present project aims at further investigating these methods concerning fundamental theoretical aspects, design of efficient and reliable algorithms and applications ro real-life problems. We plan to study the following themes : (1) LS-SVM extensions, fundamental theory, links with several methods in different areas (2) statistical analysis (3) large scale datamining algorithms and optimization (4) systems and control theory (5) bio-informatics (6) biomedical application (7) adaptive signal processing. The SVM research expertise has been built up at ESAT/SISTA under the supervision of J. Suykens, B. De Moor and J. Vandewalle. The resesearch expertise of S. Van Huffel and M. Moonen on biomedical applications and adaptive signal processing, respectively, is complementary in this study. As objective we pose that thise interdisciplinary approach will create a strong interaction between the theoretical analysis and its application in the above mentioned areas.Team
- Johan Suykens, Coordinator
- Marc Moonen, Promoter
- Bart De Moor, Promoter
- Sabine Van Huffel, Promoter
- Joos Vandewalle, Promoter
- Kristiaan Pelckmans, Team member
- Marcelo Rodrigo Espinoza Tapia, Team member
- Samuel Xavier de Souza, Team member
- Carlos Andres Alzate Perez, Team member
Financing
Funding: FWO - Research Foundation - Flanders
Program/Grant Type: FWO Research Grant - FWO Research Grant
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.