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Now showing items 3651-3660 of 3781
(Master thesis / Masteroppgave, 2019)
The main objective of this thesis is to analyze the demographics of NRK’s digital logged-in users, for which consumption behaviour data is also available. In particular, we examine NRK’s reach across demographic groups by ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
(Master thesis / Masteroppgave, 2016)
An important aspect in portfolio optimization is the quantification of risk. Variance was the starting point, as proposed by Harry Markowitz in the 1950’s, but it’s obviously flawed since it measures high returns as risk. ...
(Master thesis / Masteroppgave, 2017)
Muscle ultrasound imaging is a convenient technique to visualize normal and pathological muscle tissue. Studying muscle fascicle pennation angle and fascicle length and their dynamic changes during contraction are important ...
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2022)
Reverse Mathematics (RM hereafter) is a program in the foundations of mathematics where the aim is to identify the minimal axioms needed to prove a given theorem from ordinary, i.e., non-set theoretic, mathematics. This ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
In railways, the long-term strategic planning is the process of evaluating improvements to the railway network (e.g., upgrading a single track line to a double track line) and changes to the composition/frequency of train ...
Alternative models for reinsurance in Solvency II Restricted Access
(Master thesis / Masteroppgave, 2017)
(Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2023)
Matrix majorization is a generalization of the classical majorization for vectors. We study several basic questions concerning matrix majorization for (0;±1)-matrices, i.e., matrices whose entries are restricted to 0, 1 ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
Abstract We use methods from nonstandard analysis to unify and extend results from the theory of asymptotic fixed points on metric spaces. Among the topics we consider are Kirk’s asymptotic fixed point theorem with extensions, ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
Injecting artificial noise into gradient descent (GD) is commonly employed to improve the performance of machine learning models. Usually, uncorrelated noise is used in such perturbed gradient descent (PGD) methods. It is, ...