Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Semola, Rudy"'
Hyperparameter selection in continual learning scenarios is a challenging and underexplored aspect, especially in practical non-stationary environments. Traditional approaches, such as grid searches with held-out validation data from all tasks, are u
Externí odkaz:
http://arxiv.org/abs/2403.07015
Deep learning techniques have become one of the main propellers for solving engineering problems effectively and efficiently. For instance, Predictive Maintenance methods have been used to improve predictions of when maintenance is needed on differen
Externí odkaz:
http://arxiv.org/abs/2301.12467
Predictive machine learning models nowadays are often updated in a stateless and expensive way. The two main future trends for companies that want to build machine learning-based applications and systems are real-time inference and continual updating
Externí odkaz:
http://arxiv.org/abs/2206.06957
Autor:
De Caro, Valerio, Bano, Saira, Machumilane, Achilles, Gotta, Alberto, Cassará, Pietro, Carta, Antonio, Semola, Rudy, Sardianos, Christos, Chronis, Christos, Varlamis, Iraklis, Tserpes, Konstantinos, Lomonaco, Vincenzo, Gallicchio, Claudio, Bacciu, Davide
This paper presents a proof-of-concept implementation of the AI-as-a-Service toolkit developed within the H2020 TEACHING project and designed to implement an autonomous driving personalization system according to the output of an automatic driver's s
Externí odkaz:
http://arxiv.org/abs/2202.01645