Sökning: "Konvergens"
Visar resultat 6 - 10 av 253 uppsatser innehållade ordet Konvergens.
6. Using Quality Diversity in Genetic Programming to Improve Automatic Learning of Behaviour Trees
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : One of the main purposes of the fields of Robotics and Artificial Intelligence is to develop solutions that can autonomously solve problems. An important part of this is synthesising behaviours of robots. Behaviour Trees are a tree structure that enables combining existing lower level behaviours into a high level behaviour through task switching. LÄS MER
7. CoordinateFree Spacecraft Formation Control with Global Shape Convergence under VisionBased Sensing
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Formation control in multi-agent systems represents a groundbreaking intersection of various research fields with lots of emerging applications in various technologies. The realm of space exploration also can benefit significantly from formation control, facilitating a wide range of functions from astronomical observations, and climate monitoring to enhancing telecommunications, and on-orbit servicing and assembly. LÄS MER
8. Jämförelse mellan gradient AK/A-kvot och beräknad AK/A-kvot mellan tre forimätningsmetoder
Kandidat-uppsats, Linnéuniversitetet/Institutionen för medicin och optometri (MEO)Sammanfattning : Bakgrund: Vergenser är ögonrörelser där ögonen rör sig i olika riktningar i relation till varandra. Sambandet mellan konvergens och ackommodation kallas AK/A-kvot. Det kan tas fram med beräknad eller gradientmetod. Den beräknade metoden baseras på avstånds- och närforier. LÄS MER
9. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. LÄS MER
10. Stochastic Frank-Wolfe Algorithm : Uniform Sampling Without Replacement
Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistikSammanfattning : The Frank-Wolfe (FW) optimization algorithm, due to its projection free property, has gained popularity in recent years with typical application within the field of machine learning. In the stochastic setting, it is still relatively understudied in comparison to the more expensive projected method of Stochastic Gradient Descent (SGD). LÄS MER