16 citations · 31 across the 11 of their papers we have counts for
4 papers · 1 filter
A Distance Between Populations for n-Points Crossover in Genetic Algorithms
Mauro Castelli, Gianpiero Cattaneo, Luca Manzoni +1
Genetic algorithms (GAs) are an optimization technique that has been successfully used on many real-world problems. There exist different approaches to their theoretical study. In…
Unsure When to Stop? Ask Your Semantic Neighbors
Ivo Gonçalves, Sara Silva, Carlos M. Fonseca +1
In iterative supervised learning algorithms it is common to reach a point in the search where no further induction seems to be possible with the available data. If the search is co…
Learning the structure of Bayesian Networks: A quantitative assessment of the effect of different algorithmic schemes
Stefano Beretta, Mauro Castelli, Ivo Goncalves +2
One of the most challenging tasks when adopting Bayesian Networks (BNs) is the one of learning their structure from data. This task is complicated by the huge search space of possi…
Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks
Stefano Beretta, Mauro Castelli, Ivo Goncalves +2
Gene and protein networks are very important to model complex large-scale systems in molecular biology. Inferring or reverseengineering such networks can be defined as the process…