Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
This paper describes a novel data mining approach that employs evolutionary programming to discover knowledge represented in Bayesian networks. There are two different approaches ...
Abstract. Region-based memory management is a form of compiletime memory management, well-known from the functional programming world. This paper describes a static region analysis...
Background: Inferring cluster structure in microarray datasets is a fundamental task for the so-called -omic sciences. It is also a fundamental question in Statistics, Data Analys...
Testing of database applications is of great importance. Although various studies have been conducted to investigate testing techniques for database design, relatively few efforts ...