Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Federico Cerutti"'
Autor:
Liam Hiley, Dave Braines, Lance M. Kaplan, Mani Srivastava, Mark Law, Marc Roig Vilamala, Alessandra Russo, Federico Cerutti, Tianwei Xing, Jack Furby, Alun Preece
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
Recent years have seen significant advances in artificial intelligence (AI) and machine learning (ML) technologies applicable to coalition situational understanding (CSU). However, state-of-the-art ML techniques based on deep neural networks require
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II.
Coalition situational understanding (CSU) is fundamental to support decision-making and autonomy in multi-domain operations involving multiple allied partners. Our work aims to advance the algorithms and techniques to develop CSU, addressing key scie
Autor:
Lance M. Kaplan, Alun Preece, Daniel Vente, Angelika Kimmig, Marc Roig Vilamala, Federico Cerutti, Murat Sensoy, Paul Sullivan, Richard Tomsett
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications.
Situational understanding is impossible without causal reasoning and reasoning under and about uncertainty, i.e. probabilistic reasoning and reasoning about the confidence in the uncertainty assessment. We therefore consider the case of subjective (u
Publikováno v:
Next-Generation Analyst VI.
Publikováno v:
Next-Generation Analyst VI.
Many important decisions historically made by humans are now being made by algorithms - often learnt from data - whose accountability measures and legal standards are far from satisfactory. While model transparency is important, it is neither necessa