Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them
Traditional approaches to neuroevolution often start from scratch. This becomes prohibitively
expensive in terms of computational and data requirements when targeting modern, deep …
expensive in terms of computational and data requirements when targeting modern, deep …
Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching
Machine learning models can be made more performant and their predictions more
consistent by creating an ensemble. Each neural network in an ensemble commonly …
consistent by creating an ensemble. Each neural network in an ensemble commonly …
On Solving Real-World Multi-Objective Human Resource Allocation Problem in Short-Term Employment Sector Using the Concept of Parameter-Less Population …
M Przewozniczek, PB Myszkowski, W Kosciukiewicz… - papers.ssrn.com
Frequently, various problem-dedicated optimizers are proposed when a real-life problem is
identified. Usually, the problem-dedicated mechanisms are based on the problem features …
identified. Usually, the problem-dedicated mechanisms are based on the problem features …