corso di dottorato "Machine Learning: A Computational Intelligence Approach"

Instructors: Francesco Masulli University of Genova - Italy (email: francesco.masulli@unige.it) Stefano Rovetta University of Genova - Italy (email: stefano.rovetta@unige.it) Period: Jun 3-7, 2019 (Mon-Thu 11:00 am - 1:00 pm and 2:00 pm - 4:00 pm; Fri 10:00 am - 12:00 pm only) Number of hours: 18 (+ some students' seminars) The Computational Intelligence is a set of methodologies for information processing inspired by natural systems that in recent decades have been successfully applied to the solution of complex problems. Among them, one can mention the Neural Networks, the Evolutionary Algorithms, the Swarm Intelligence models, the Simulated Annealing, and the Fuzzy sets and Systems. In this course we present some applications of Computational Intelligence methods to supervised and unsupervised problems of Machine Learning. Syllabus: Supervised Classification, Neural Networks, Evaluation of Classifiers, Introduction to Clustering, Statistical Clustering, Fuzzy Sets, Fuzzy Clustering, Evolutionary Algorithms, Evolutionary Clustering, Applications. The enrolment to the course is free, but registration is required by May 27th, 2019 at https://docs.google.com/forms/d/e/1FAIpQLSfDvMye3KN4dSkOnEgwTnRTP_AWi4G… The course will be held in Genova in the heart of the Italian Riviera. For more information see http://www.disi.unige.it/person/MasulliF/didattica/ML-CI-PhD/MLCI-2019…
Ultimo aggiornamento 29 Aprile 2019