The challenges of training generative adversarial network (GAN) to produce discrete tokens, have seen a considerable amount of work in the past year. However, the amount of successful work on applying deep generative models ...

Bayesian networks, also referred to as belief networks, originates from the artificial intelligence field where they were used to reason about uncertain knowledge. They differ from other knowledge representation schemes ...

The goal of this thesis is to implement an automated trading system able to outperform the benchmark uniform buy-and-hold strategy. Performance is measured in term of multiple risk and return measures. A comprehensive ...

Hybrid Bayesian networks have received an increasing attention during the last years. The difference with respect to standard Bayesian networks is that they can host discrete and continuous variables simultaneously, which ...

Kunstig intelligens blir stadig mer tilstedeværende i høy-risiko domener slik som rettsvesen og medisin. Som en følge krever lovgivende makter innsikt i kunstig intelligens-systemer, samt forklaringer som både kan begrunne ...

Stroke is a disruption in the blood flow to the brain which may lead to a death of brain cells. More than 12000 Norwegians experience a stroke each year. Survivors often suffer lasting movement disabilities, which affect ...

Interessen rundt utnyttelse av dataanalyse som konkurransefortrinn i fotballen er økende, noe som gjenspeiles gjennom stadig flere publiserte artikler. Arbeidet i denne masteroppgaven er sentrert rundt modeller utviklet ...

Computational thinking and coding are becoming an integral part of K-12 education, with female students being underrepresented in such subjects. The proliferation of technological tools and programming environments offers ...

As the demand for harvesting offshore energy increases worldwide, the need for slender structures, such as marine risers and power cables, will increase. The dominating loads for deep water applications will primarily be ...