In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
—A Bayesian-based methodology is presented which automatically penalizes overcomplex models being fitted to unknown data. We show that, with a Gaussian mixture model, the approac...
Stephen J. Roberts, Dirk Husmeier, Iead Rezek, Wil...
The Basel New Accord which is being implemented throughout the banking world on 1 January 2007 has made a significant difference to the use of modelling within financial organisat...
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Open real-time systems provide for co-hosting hard-, soft- and non-real-time applications. Microkernel-based designs in addition allow for these applications to be mutually protec...