The importance of finding the characteristics leading to either a success or a failure is one of the driving forces of data mining. The various application areas of finding succes...
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
We consider the problem of constructing mean{risk models which are consistent with the second degree stochastic dominance relation. By exploiting duality relations of convex analys...
To facilitate rational decision making regarding cyber security investments, decision makers need to be able to assess expected losses before and after potential investments. This...