The MAP (maximum a posteriori hypothesis) problem in Bayesian networks is to find the most likely states of a set of variables given partial evidence on the complement of that set...
Many applications require comparison between alternative scenarios; most support it poorly. A subjunctive interface supports comparison through its facilities for parallel setup, ...
Long branch attraction is a problem that afflicts phylogenetic methods and a procedure to detect a data set suffering from this problem is the long branch extraction method[1]. Thi...
Eight years ago, functional dependencies, a concept from the theory of relational databases, were proposed as a mechanism for avoiding common problems with multiple parameter type...
This paper revisits a well-known synthesis problem in iterative learning control, where the objective is to optimize a performance criterion over a class of causal iterations. The...