2 papers
cs.LG2021
Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations
Pongpisit Thanasutives, Masayuki Numao, Ken-ichi Fukui
Recently, researchers have utilized neural networks to accurately solve partial differential equations (PDEs), enabling the mesh-free method for scientific computation. Unfortunate…
cs.LG2017
Efficient Decision Trees for Multi-class Support Vector Machines Using Entropy and Generalization Error Estimation
Pittipol Kantavat, Boonserm Kijsirikul, Patoomsiri Songsiri +2
We propose new methods for Support Vector Machines (SVMs) using tree architecture for multi-class classi- fication. In each node of the tree, we select an appropriate binary classi…