Sökning: "hilbert"
Visar resultat 21 - 25 av 58 uppsatser innehållade ordet hilbert.
21. Optimizing numerical modelling of quantum computing hardware
Master-uppsats, Umeå universitet/Institutionen för fysikSammanfattning : Quantum computers are being developed to solve certain problems faster than classical computers. Instead of using classical bits, they use quantum bits (qubits) that utilize quantum effects. LÄS MER
22. Mathematical Optimization in SVMs
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : In this thesis, support vector machines (SVMs) are studied from a mathematical optimization viewpoint. Both the linear case using hard-margin as well as soft-margin classification and the non-linear case using kernel functions are discussed. The theory of kernel Hilbert spaces is introduced and related to the non-linear SVM case. LÄS MER
23. Monitoring and predictive maintenance of an industrial line
Master-uppsats, Luleå tekniska universitet/Drift, underhåll och akustikSammanfattning : Industry 4.0 push forward the development of concepts such as artificial intelligence, big data, and Industrial Internet of Things, which claims an evolution of the monitoring systems design in terms of the accessibility to the information. LÄS MER
24. A comparison of different R-tree construction techniques for range queries on neuromorphological data
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The brain is the most complex organ in the human body, and there are many reasons to study it. One way of studying the brain is through digital simulations. Such simulations typically require large amounts of data on the 3dimensional structure of individual neurons to be stored and processed efficiently. LÄS MER
25. Statistical Learning and Analysis on Homology-Based Features
Master-uppsats, KTH/Matematisk statistikSammanfattning : Stable rank has recently been proposed as an invariant to encode the result of persistent homology, a method used in topological data analysis. In this thesis we develop methods for statistical analysis as well as machine learning methods based on stable rank. LÄS MER