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Now showing items 2971-2980 of 3781
(Master thesis / Masteroppgave, 2020)
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Clicking data, which exists in abundance and contains objective user preference information, is widely used to produce personalized recommendations in web-based applications. Current popular recommendation algorithms, ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2018)
We prove a Grothendieck–Lefschetz theorem for equivariant Picard groups of non-singular varieties with finite group actions.
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
(Research report / Forskningsrapport, 1983)
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Deep Reinforcement Learning (DRL) has recently been proposed as a methodology to discover complex active flow control strategies [Rabault et al., “Artificial neural networks trained through deep reinforcement learning ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
The notion of a generalized scale emerged in recent joint work with Afsar–Brownlowe–Larsen on equilibrium states on C*-algebras of right Least Common Multiple (LCM) monoids, where it features as the key datum for the ...
(Research report / Forskningsrapport, 1977)
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Current theories suggest that waste solutes are cleared from the brain via cerebrospinal fluid (CSF) flow, driven by pressure pulsations of possibly both cardiac and respiratory origin. In this study, we explored the ...