activity
20002003
most citedThe Cavity Approach to Noisy Learning in Nonlinear Perceptrons

5 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat2003★ 1 cited

Diversity and Adaptation in Large Population Games

K. Y. Michael Wong, S. W. Lim, Peixun Luo

We consider a version of large population games whose players compete for resources using strategies with adaptable preferences. The system efficiency is measured by the variance o…

cond-mat.dis-nn2002★ 2 cited

Dynamical and Stationary Properties of On-line Learning from Finite Training Sets

Peixun Luo, K. Y. Michael Wong

The dynamical and stationary properties of on-line learning from finite training sets are analysed using the cavity method. For large input dimensions, we derive equations for the…

cond-mat.dis-nn2001★ 5 cited

The Cavity Approach to Noisy Learning in Nonlinear Perceptrons

Peixun Luo, K. Y. Michael Wong

We analyze the learning of noisy teacher-generated examples by nonlinear and differentiable student perceptrons using the cavity method. The generic activation of an example is a f…

cond-mat.dis-nn2000★ 4 cited

Mean-field theory of learning: from dynamics to statics

K. Y. Michael Wong, S. Li, Peixun Luo

Using the cavity method and diagrammatic methods, we model the dynamics of batch learning of restricted sets of examples. Simulations of the Green's function and the cavity activat…

cond-mat.dis-nn2000

Sacrificial Learning in Nonlinear Perceptrons

Peixun Luo, K. Y. Michael Wong

Using the cavity method we consider the learning of noisy teacher-generated examples by a nonlinear student perceptron. For insufficient examples and weak weight decay, the activat…