Browsing Masteruppsatser by Title
Now showing items 21-40 of 62
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Group Invariant Convolutional Boltzmann Machines
(2020-12-04)We investigate group invariance in unsupervised learning in the context of certain generative networks based on Boltzmann machines. Specifically, we introduce a generalization of restricted Boltzmann machines which is ... -
Incentives Schemes Under New Regulations
(2015-06-23)Due to the nancial crisis of 2007, regulatory authorities engaged in a fundamental reconsideration of how they approach nancial regulation and supervision. Therefore, that nancial crisis caused the need of a signi ... -
Incentives Schemes Under New Regulations
(2015-06-11) -
Investigation of portfolio strategies by means of simulation
(2022-07-01)Portfolio insurance strategies are constructed to limit an investors loss but still reward them when the market goes up. In this thesis we compare two portfolio insurance strategies, Constant proportion portfolio insurance ... -
Joint segmentation of multiple features with application to analysis of epilepsy and music.
(2015-04-29)Multivariate data is segmented into parts, called segments, with common characteristics. The segments are assumed to have an under- lying model structure. It is of interest to see whether the character- istic changes ... -
Knowing a Thousand Formulas Is Not The Same as Knowing Mathematics
(2021-09-07)This research is about how students at different levels of mathematical studies view, understand and study mathematics. The research is based on two theories on mathematical understanding, James Hiebert and Patricia ... -
Low-lying zeroes of L-functions attached to modular forms
(2024-03-22)We study the family of L-functions attached to Hecke newforms of weight k and level N and their low-lying zeroes. First, we recall the Density Conjecture of Katz and Sarnak and how it predicts the behaviour of the low-lying ... -
The low-lying zeros of L-functions associated to non-Galois cubic fields
(2023-02-13)We study the low-lying zeros of Artin L-functions associated to non-Galois cubic number fields through their one- and two-level densities. In particular, we find new precise estimates for the two-level density with a ... -
Machine Learning for NCC's Concrete Pile Production
(2021-09-17)In this thesis, the usefulness of machine learning (ML) is evaluated for the processes of NCC's subsidiary company Hercules. It is evaluated with regard to ML's ability to assist reduction of CO2 footprint and costs. The ... -
Manikin Time; Development of the Virtual Manikin with External Root and Improved Inverse Kinematics
(2012-05-10)Simulating manual assembly operations considering ergonomic load and clearance demands requires detailed modeling of human body kinematics and motions, as well as a tight coupling to powerful algorithms for collision-free ... -
Mathematical modelling of the scheduling of a production line at SKF
(2012-11-28)The main purpose of this thesis project is to nd the required sizes of the bu ers in one of the future roller production channels in SKFs factory in Gothenburg. An integer linear programming model for nding the best ... -
Microcalcification Detection in Mammography using Wavelet Transform and Statistical Parameters
(2012-03-15)The earliest sign of breast cancer is the existence of microcalcifications which are tiny calcium clusters in breast tissues detected in mammographies. Early detection and diagnosis of microcalcifications is the main ... -
Minimal Surfaces- A proof of Bernstein´s theorem
(2015-06-10)This thesis is meant as an introduction to the subject of minimal surfaces, i.e. surfaces having mean curvature zero everywhere. In a physical sense, minimal surfaces can be thought of as soap lms spanning a given wire ... -
Minimality-preserving Ribaucour transformations
(2016-07-06)The Ribaucour transformation classically relates surfaces via a sphere congruence that preserves lines of curvature. In this report, we generalise the concept to submanifolds of arbitrary dimension and codimension, and ... -
Modeling and solving vehicle routing problems with many available vehicle types
(2014-07-07)Abstract In this thesis, models have been formulated and mathematical optimization methods developed for the heterogeneous vehicle routing problem with a very large set of available vehicle types, called many-hVRP. ... -
Modelling the effect of multimodal pain rehabilitation
(2022-09-21)Chronic pain is a cause of suffering in a large share of the population and a leading public health problem. Multimodal pain rehabilitation (MMR) is a multidisciplinary rehabilitation method commonly used to treat chronic ... -
Multi Agent Reinforcement Learning
(2019-06-13)Machine learning and artificial intelligence has been a hot topic the last few years, thanks to improved computational power the machine learning framework can now be applied to larger data sets. Reinforcement learning is ... -
Multidimensional measures on Cantor sets
(2013-06-24)Cantor sets in R are common examples of sets on which Hausdorff measures can be positive and finite. However, there exists Cantor sets on which no Hausdorff measure is supported and finite. The purpose of this thesis is ... -
Numerical Analysis of Yield Curves Implied by Two-Factor Interest Rate Models
(2021-06-15)Abstract We investigate the yield curves implied by coupon bonds in models where the market short rate is given by a two-factor stochastic model. Specifically, we investigate generalisations of the two-factor Vasicek, ... -
Optimal Auxiliary Variable Assisted Two-Phase Sampling Designs.
(2016-06-22)Two-phase sampling is a procedure in which sampling and data collection is conducted in two phases, aiming at achieving increased precision in estimation at reduced cost. The rst phase typically involves sampling a large ...