Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Westphal, Charles"'
Network Intrusion Detection (NID) remains a key area of research within the information security community, while also being relevant to Machine Learning (ML) practitioners. The latter generally aim to detect attacks using network features, which hav
Externí odkaz:
http://arxiv.org/abs/2411.11603
Model pruning is attracting increasing interest because of its positive implications in terms of resource consumption and costs. A variety of methods have been developed in the past years. In particular, structured pruning techniques discern the impo
Externí odkaz:
http://arxiv.org/abs/2411.00147
In this paper, we introduce Partial Information Decomposition of Features (PIDF), a new paradigm for simultaneous data interpretability and feature selection. Contrary to traditional methods that assign a single importance value, our approach is base
Externí odkaz:
http://arxiv.org/abs/2405.19212
Identifying the most suitable variables to represent the state is a fundamental challenge in Reinforcement Learning (RL). These variables must efficiently capture the information necessary for making optimal decisions. In order to address this proble
Externí odkaz:
http://arxiv.org/abs/2401.11512
This report describes the Air Force Armament Laboratory Technical Facilities and Capabilities for Research and Development of nonnuclear munitions. Keywords: Missile simulations laboratories, High explosives research and development facility, Aerobal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7979b98547d00bdd641638973f532512
https://doi.org/10.21236/ada225657
https://doi.org/10.21236/ada225657
