3 papers
stat.ML2025
Networks with Finite VC Dimension: Pro and Contra
Vera Kurkova, Marcello Sanguineti
Approximation and learning of classifiers of large data sets by neural networks in terms of high-dimensional geometry and statistical learning theory are investigated. The influenc…
cs.RO2022
An efficient combined local and global search strategy for optimization of parallel kinematic mechanisms with joint limits and collision constraints
Haribhau Durgesh, Guillaume Michel, Shivesh Kumar +2
The optimization of parallel kinematic manipulators (PKM) involve several constraints that are difficult to formalize, thus making optimal synthesis problem highly challenging. The…
math.OC2016
LQG Online Learning
Giorgio Gnecco, Alberto Bemporad, Marco Gori +1
Optimal control theory and machine learning techniques are combined to formulate and solve in closed form an optimal control formulation of online learning from supervised examples…