Most classification algorithms receive as input a set of attributes of the classified objects. In many cases, however, the supplied set of attributes is not sufficient for creatin...
A shape specification system based on fuzzy logic is proposed, which aims to facilitate designers in conceptual design stage by allowing them to specify and work with rough models...
Logic programming provides a uniform framework in which all aspects of explanation-based generalization and learning may be defined and carried out, but first-order Horn logic i...
Abstract. Multi-attribute negotiation has been extensively studied from a gametheoretic viewpoint. In negotiation settings, utility functions are used to express agent preferences....
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...