: A generalization of subjective expected utility is presented in which the primitives are a finite set of states of the world, a finite set of strategies available to the decision...
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Background: Detection of periodically expressed genes from microarray data without use of known periodic and non-periodic training examples is an important problem, e.g. for ident...
Claes R. Andersson, Anders Isaksson, Mats G. Gusta...