MACHINE LEARNING

MACHINE LEARNING

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iten
Codice
86928
ANNO ACCADEMICO
2017/2018
CFU
4 cfu al 2° anno di 8774 ROBOTICS ENGINEERING (LM-32) GENOVA
SETTORE SCIENTIFICO DISCIPLINARE
INF/01
LINGUA
Inglese
SEDE
GENOVA (ROBOTICS ENGINEERING)
periodo
1° Semestre

PRESENTAZIONE

OBIETTIVI E CONTENUTI

OBIETTIVI FORMATIVI

The goal of the class is to present Artificial Neural Networks and other well known Machine Learning techniques (e. g. Gaussian Processes, Bayesian Learning, hidden Markov models, etc.) as systems for solving supervised and unsupervised learning problems, with a specific emphasis on Robotics applications. Such learning systems can be applied to pattern recognition, function approximation, time-series prediction and clustering problems. Some mention will be made to the use of ANNs as static systems for information coding, and dynamical systems for optimization and identification.

DOCENTI E COMMISSIONI

Ricevimento: Su appuntamento; disponibile anche senza appuntamento per questioni brevi

Commissione d'esame

RENATO UGO RAFFAELE ZACCARIA (Presidente)

STEFANO ROVETTA (Presidente)