In this paper we advocate the application of Artificial Intelligence techniques to quality
assessment of food products. Machine Learning algorithms can help us to:(a) extract …

A new machine learning system is presented in this article. It is called inner and induces
classification rules from a set of training examples. The process followed by this system …

In this paper we present a machine-learning algorithm that computes a small set of accurate
and interpretable rules. The decisions of these rules can be straight-forwardly explained as …

Let us consider a set of training examples described by continuous or symbolic attributes
with categorical classes. In this paper we present a measure of the potential quality of a …

Case-based information systems can be seen as lazy machine learning algorithms; they
select a number of training instances and then classify unseen cases as the most similar …

In this paper, starting from a collection of training examples, we show how to produce a very
compact set of classification rules. The induction idea is a clustering principle based on …

A new machine learning system, INNER, is presented in this paper. The system starts out
from a collection of training examples; some of them are inflated generalizing their …

Text Categorization (TC) is the process of assigning documents to a set of previously fixed
categories. A lot of research is going on with the goal of automating this time-consuming task …

We present a practical method for coordinating two robots that have to move in close
proximity. Few results have been reported in the literature for practical situations under time …

Decision tree induction and rule production methods have been proven as efficient tools in
concept learning or data mining tasks. These approaches exhibit a good performance even …