Sökning: "machine learning"

Visar resultat 1 - 5 av 3745 uppsatser innehållade orden machine learning.

1. 1. Optimizing on-chip Machine Learning for Data Prefetching

   Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Hampus Larsson; Miranda Jernberg; Albin Pansell; Fabian Stigsson; Fredrik Hamrefors; Pontus Söderström; [2023-03-03]
   Nyckelord :Data Prefetching; Machine Learning; HW SW co-Design; HLS; FPGA;

   Sammanfattning : The idea behind data prefetching is to speed up program execution by predicting what data is needed by the processor, before it is actually needed. Data prefetching is commonly performed by prefetching the next memory address in line, but there are other, more sophisticated approaches such as machine learning. LÄS MER

3. 2. ASSESSING PUBLIC OPINION ON ALGORITHMIC FAIRNESS Reviewing practical challenges and the role of contextual factors

   Master-uppsats, Institutionen för tillämpad informationsteknologi

   Författare :Veronica Kecki; [2023-02-01]
   Nyckelord :AI; artificial intelligence; ML; machine learning; algorithms; algorithmic decision-making; fairness; socio-technical design; AI ethics;

   Sammanfattning : AI ethicists often claim that where algorithmic decision-making is impacting human lives, it is crucial to strive for transparency and explainability. As one form of achieving these, some authors have argued for socio-technical design of AI systems that involves the user in the design process. LÄS MER

4. 3. Primary Drivers of Sea Level Variability in the North – Baltic Sea Transition Using Machine Learning

   Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

   Författare :David Ek; [2023-01-09]
   Nyckelord :;

   Sammanfattning : Global mean sea level is rising, however not uniformly. Regional deviations of sea surface height (SSH) are common due to local drivers, including surface winds, ocean density stratifications, vertical land- & crustal movements and more. LÄS MER

5. 4. Implementations and evaluation of machine learning algorithms on a microcontroller unit for myoelectric prosthesis control

   Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Jonathan Benitez; [2023]
   Nyckelord :microcontroller; deep learning; artificial neural network; electromyography; myoelectric prosthesis; Technology and Engineering;

   Sammanfattning : Using a microcontroller unit to implement different machine learning algorithms for myoelectric prosthesis control is currently feasible. Still there are hardware and timing constraints that need to be accounted for. LÄS MER

7. 5. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Ilya Ploshchik; [2023]
   Nyckelord :Visualization; interaction; metamodels; validation metrics; predicted probabilities; stacking; stacked generalization; ensemble learning; machine learning;

   Sammanfattning : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. LÄS MER