A new approach for overcoming broken ergodicity in Markov Chain Monte Carlo (MCMC) simulations of complex systems is described. The problem of broken ergodicity is often present i...
This paper seeks to frame one aspect of the Smart Grid discussion which has been under-recognized in regulatory and policy debates. Significant discussion has focused Smart Grid a...
Richard D. Tabors, Geoffrey Parker, Michael C. Car...
: Variable data documents can be considered as functions of their bindings to values, and this function could be arbitrarily complex to build strongly-customised but high-value doc...
ABSTRACT: In this paper I present the model of ‘bounded revision’ that is based on two-dimensional revision functions taking as arguments pairs consisting of an input sentence ...
Approximate linear programming (ALP) is an efficient approach to solving large factored Markov decision processes (MDPs). The main idea of the method is to approximate the optimal...