Knowledge Transfer Between Artificial Intelligence Systems

no code implementations • 5 Sep 2017 • Ivan Y. Tyukin, Alexander N. Gorban, Konstantin Sofeikov, Ilya Romanenko

We consider the fundamental question: how a legacy "student" Artificial Intelligent (AI) system could learn from a legacy "teacher" AI system or a human expert without complete re-training and, most importantly, without requiring significant computational resources.

Transfer Learning

One-Trial Correction of Legacy AI Systems and Stochastic Separation Theorems

no code implementations • 3 Oct 2016 • Alexander N. Gorban, Ilya Romanenko, Richard Burton, Ivan Y. Tyukin

The tuning method that we propose enables dealing with errors without the need to re-train the system.