Analysis of On-Line Learning when a Moving Teacher Goes around a True Teacher
スポンサーリンク
概要
- 論文の詳細を見る
In the framework of on-line learning, a learning machine might move around a teacher due to the differences in structures or output functions between the teacher and the learning machine or due to noises. The generalization performance of a new student supervised by a moving machine has been analyzed. A model composed of a fixed true teacher, a moving teacher and a student that are all linear perceptrons with noises has been treated analytically using statistical mechanics. It has been proven that the generalization errors of a student can be smaller than that of a moving teacher, even if the student only uses examples from the moving teacher.
- THE PHYSICAL SOCIETY OF JAPANの論文
THE PHYSICAL SOCIETY OF JAPAN | 論文
- Ladder lattice model of soft optical phonon
- Quantum Spin-Hall Effect in a Quantum Wire
- Spin Current Generated from A Quantum Dot Driven by Pulsed Magnetic Resonance: Real-Time Spin Dynamics
- Spin-Current-Driven Spin Pumping in Rashba Spin-Orbit Coupled Systems : A Spin Torque Effect
- Analysis of XY model with mexican-hat interaction on a circle : Derivation of saddle point equations and study of bifurcation structure