3 papers
cs.LG2021
Eliminating Multicollinearity Issues in Neural Network Ensembles: Incremental, Negatively Correlated, Optimal Convex Blending
Pola Lydia Lagari, Lefteri H. Tsoukalas, Salar Safarkhani +1
Given a {features, target} dataset, we introduce an incremental algorithm that constructs an aggregate regressor, using an ensemble of neural networks. It is well known that ensemb…
cs.NE1998
Neural Network Methods for Boundary Value Problems Defined in Arbitrarily Shaped Domains
I. E. Lagaris, A. Likas, D. G. Papageorgiou
Partial differential equations (PDEs) with Dirichlet boundary conditions defined on boundaries with simple geometry have been succesfuly treated using sigmoidal multilayer perceptr…
cs.NE1998
Training Reinforcement Neurocontrollers Using the Polytope Algorithm
A. Likas, I. E. Lagaris
A new training algorithm is presented for delayed reinforcement learning problems that does not assume the existence of a critic model and employs the polytope optimization algorit…