Abstract-- This paper deals with an architecture for knowledge representation suitable for integrated Robotics and Ambient Intelligence applications. The aim of the work is to adop...
Francesco Capezio, Fulvio Mastrogiovanni, Antonio ...
In the wrapperapproachto feature subset selection, a searchfor an optimalset of features is madeusingthe induction algorithm as a black box. Theestimated future performanceof the ...
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
: Despite all the advance brought by LALR parsing method by DeRemer in the late 60's, conflicts continue to be removed in a non-productive way, by means of analysis of a huge ...
Leonardo Teixeira Passos, Mariza Andrade da Silva ...