PhD1

   
Statistical learning approaches for global optimization Emile Contal
Evolutionary modelling of industrial systems with genetic programming Birkan, Can
   
Development of a hybrid genetic programming technique for
computationally expensive optimisation problems
Umberto Armani
Enhancing genetic programming for predictive modeling König, Rikard
   
BEHAVIOURAL SYNTHESIS OF ANALOGUE INTEGRATED
CIRCUITS
SIMON JAMES PARISH
   
Measures and Methods for Robust
Genetic Programming
Mauro CASTELLI
   
Data Mining using Genetic Programming
Classification and Symbolic Regression
J. Eggermont
CAD INTERFACE AND FRAMEWORK
FOR CURVE OPTIMISATION APPLICATIONS
O. MUNAUX
Parametric estimation of covariance function in
Gaussian-process based Kriging models. Application to
uncertainty quanti cation for computer experiments
Francois Bachoc
Thesis slides   
   
The evolution of modular artificial neural networks Sethuraman Muthuraman
   
Statistical modeling of expert opinions using imprecise
probabilities
Coolen, F.P.A.
   
BAYESIAN NONPARAMETRIC
MODELING OF NETWORK DATA
Daniele Durante
   
Stochastic modeling of road-induced loads for reliability
assessment of chassis and vehicle components through
simulation
William Fauriat
Hardware Spiking Neural Network and
Remote FPGA Lab
Seamus Cawley B. Eng
Surrogate-Assisted Evolutionary Algorithms Ilya Loshchilov
   
IMPROVING ACCURACY AND COMPENSATING FOR
UNCERTAINTY IN SURROGATE MODELING
Victor PICHENY
   
New Strategies for Efficient and Practical Genetic Programming
Cyril FILLON
Genetic programming based predictions and estimations for the endurance and retention of NAND flash memory devices Hogan, Damien
   
Scientific Discovery using Genetic Programming
Maarten Keijzer
Data Mining using Genetic Programming
Classification and Symbolic Regression
Jeroen Eggermont
Evolution of differential models for concrete complex systems through genetic programming Santos Peretta, Igor
   
Evolving Artificial Neural Networks
using Cartesian Genetic Programming
Andrew James Turner
   
Intelligent Feature Selection for Neural Regression
Fu Zhang