Abstract: A computer implemented method is provided to expand a limited amount of input to conditional probability data filling a Bayesian Belief network based decision support apparatus. The conditional probability data defines conditional probabilities of states of a particular network node as a function of vectors of state values of a set of parent nodes of the particular network node in the Bayesian Belief network. The computer implemented method comprises receiving elicited conditional probability data that defines the conditional probabilities of the state values of the particular network node for a subset of all possible vectors of combinations of state values of the parent nodes. Conditional probability data defining the conditional probabilities of the state values of the particular network node for further possible vectors of state values of the parent nodes is interpolated from the elicited conditional probability data. The influence factors are determined.

Abstract: A computer implemented method is provided to expand a limited amount of input to conditional probability data filling a Bayesian Belief network based decision support apparatus. The conditional probability data defines conditional probabilities of states of a particular network node as a function of vectors of state values of a set of parent nodes of the particular network node in the Bayesian Belief network. The computer implemented method comprises receiving elicited conditional probability data that defines the conditional probabilities of the state values of the particular network node for a subset of all possible vectors of combinations of state values of the parent nodes. Conditional probability data defining the conditional probabilities of the state values of the particular network node for further possible vectors of state values of the parent nodes is interpolated from the elicited conditional probability data. The influence factors are determined.

Abstract: Compositions of especially good properties particularly for use in the construction industry have been found which comprise a matrix of solid particles, comprising at least two groups of particle types selected from aggregate, sand and filler, embedded in a binder, which is predominantly polyethylene terephthalate, wherein the binder is present in an amount in the range of from 1 to 50% by weight. Also provided is a process for the preparation of such a composition, which comprises mixing heated particles and binder, shaping if desired, and allowing the mixture to solidify, wherein solid particles and binder are heated independently of each other prior to mixing such that on mixing the temperature of the mixture is in the range of from 230 to 300° C., and wherein the solid particles are heated to a higher temperature than the binder.