The aim of this work is the design of a framework for the revision of knowledge in abductive reasoning agents, based on interaction. We address issues such as: how to exploit knowl...
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
The growing popularity of computers in all areas of daily life leads to the situation that an increasing number of people with diverse know-how of computers and software use these...
This paper reports some results of a long-term work in application of AI techniques whose ultimate goal is the development of tools for resource scheduling. Most of the efforts so...
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...