Essays about: "Machine Learning"
Showing result 1 - 5 of 3399 essays containing the words Machine Learning.
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1. ASSESSING PUBLIC OPINION ON ALGORITHMIC FAIRNESS Reviewing practical challenges and the role of contextual factors
University essay from Institutionen för tillämpad informationsteknologiAbstract : 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. READ MORE
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2. Primary Drivers of Sea Level Variability in the North – Baltic Sea Transition Using Machine Learning
University essay from Göteborgs universitet/Institutionen för geovetenskaperAbstract : 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. READ MORE
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3. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : 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. READ MORE
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4. Are AI-Photographers Ready for Hire? : Investigating the possibilities of AI generated images in journalism
University essay from Uppsala universitet/Statistiska institutionenAbstract : In today’s information era, many news outlets are competing for attention. One way to cut through the noise is to use images. Obtaining images can be both time-consuming and expen- sive for smaller news agencies. READ MORE
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5. Nobody Takes It All: Analysis of dynamic propagation of knowledge in a social network
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : In this paper, we analyse how knowledge is shared in a social network, with the purpose of defining recurring patterns and equilibria. We develop a formal model, the Know-It-All game, based on the PageRank algorithm and other related game theoretical models, such as the Buck-holding game. READ MORE
