Many processes are composed of a n-fold repetition of some simpler process. If the whole process can be modeled with a neural network, we present a method to derive a model of the...
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
Abstract. A Data Warehouse (DW) is a data repository that organizes and physically integrates data from multiple sources under special kinds of schemas. A DW is composed by a set o...
—In this paper, we will study a special Connected Dominating Set (CDS) problem — between any two nodes in a network, there exists at least one shortest path, all of whose inter...
Primer approximation multiplex PCR (PAMP) is a new experimental protocol for efficiently assaying structural variation in genomes. PAMP is particularly suited to cancer genomes w...
Ali Bashir, Yu-Tsueng Liu, Benjamin J. Raphael, De...