Skip to content

machine-learning-2020

Home
ML-101
ML-102
Books
Learning
- DataBase
- Tutorial
- Lectures
- Videos
- Computer Experiments
- References
- PhD Thesis
  - English
  - French
Applications
Machine Learning Techniques

machine

Techniques d’optimisation deterministe et stochastique pour la resolution de problemes difficiles en cryptologie

Sarra Bouallagui

CAD INTERFACE AND FRAMEWORK FOR CURVE OPTIMISATION APPLICATIONS SIMS PhD THESIS

O MUNAUX

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

Hybridation des métaheuristiques et de la programmation dynamique pour les problèmes d’optimisation mono et multi-objectif : application à la production d’énergie

Jacquin, Sophie

HYBRIDATION D’ALGORITHMES EVOLUTIONNAIRES ET DE METHODES D’INTERVALLES POUR L’OPTIMISATION DE PROBLEMES DIFFICILES

M. CHARLIE VANARET

Hardware spiking neural network and remote FPGA lab

Cawley, Seamus

Machine Learning in Engineering Applications

Giorgio Davanzo

Model-based problem solving through symbolic regression via pareto genetic programming

Vladislavleva, E.

Post navigation

Older posts

Newer posts

← Previous Page1 … Page7 Page8 Page9 … Page23 Next →

Search for:

© 2026 machine-learning-2020 • Built with GeneratePress