Predictive toxicology is the task of building models capable of determining, with a certain degree of accuracy, the toxicity of chemical compounds. Machine Learning (ML) in general...
This paper investigates the use of the case-based reasoning methodology applied to the game of Texas hold’em. The development of a CASe-based Poker playER (CASPER) is discussed....
The objective of this work is to interpret inductive results obtained by the unsupervised learning method OSHAM. We briefly introduce the learning process of OSHAM, that extracts ...
Interacting with intelligent systems in general and ambient intelligent systems in particular, requires that these systems have the ability to build a trust relationship with the u...
The problem of heterogeneous case representation poses a major obstacle to realising real-life multi-case-base reasoning (MCBR) systems. The knowledge overhead in developing and ma...