54 citations · 227 across the 36 of their papers we have counts for
4 papers · 2 filters
Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization
Vojtech Krmicek, Michèle Sebag
Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multi-modal optimization is proposed to formalize thes…
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Christian Gagné, Marc Schoenauer, Michèle Sebag +1
Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed optimization p…
Avoiding the Bloat with Stochastic Grammar-based Genetic Programming
Alain Ratle, Michèle Sebag
The application of Genetic Programming to the discovery of empirical laws is often impaired by the huge size of the search space, and consequently by the computer resources needed.…
Using Domain Knowledge in Evolutionary System Identification
Marc Schoenauer, Michèle Sebag
Two example of Evolutionary System Identification are presented to highlight the importance of incorporating Domain Knowledge: the discovery of an analytical indentation law in Str…