Centre for Computational Linguïstics KU Leuven
The Center for Computational Linguistics conducts research in the field of formal and computational linguistics, including with a view to its application in language and speech technology.
The Center for Computational Linguistics conducts research in the field of formal and computational linguistics, including with a view to its application in language and speech technology.
1) mathematical and computational physics -study of sparse representations of functions -application to inverse problems (L1-penalization) -regularization methods for linear ill-posed problems -stability of inverse problems -design of fast reconstruction algorithms 2) Inverse problems in imaging and image processing -tomographic image reconstruction in nuclear medicine -related problems in applied mathematics -2D or 3D tomographic image ...
Cancers are highly heterogeneous entities, both within a single tumor and across patients. Intratumoral heterogeneity stems from the spectrum of cancer cell clones and the dynamic cellular composition of the tumour microenvironment. Cross-patient heterogeneity is based on the multitude of cancer cells-of-origin and patient-specific combinations of germline and somatic genetic variants driving the tumorigenesis. Despite recent major ...
CI integrates machine learning, fuzzy systems,neural networks and evolutionary computation. Each of this 4 area's uses specfic techniques and paradigma's in order to build intelligent systems. Allthough these techniques are diverse and complementary, they ccan be used for similar problems.
Mathematical modelling and analysis of processes encountered in the engineering (such as energy, environment, building), technical systems, geosystems, biosystems
Development and analysis of numerical schemes for (ordinary and partial) differential equations such as finite element, finite volume, or discontinuous Galerkin schemes
Development and analysis of iterative/linearization methods
The Computational Modeling Lab, COMO, is headed by Prof. dr. Bernard Manderick and Prof. Dr. Ann Nowé, and has on average 10 PhD students. The research group focuses on the one hand on the modelling of natural phenomena, and on the other hand on developing algorithms for complex problem solving inspired by these natural phenomena. COMO has experience in a wide range of learning techniques such as Reinforcement Learning, Genetic Algorithms, ...