Essays about: "measure base learning"
Showing result 1 - 5 of 17 essays containing the words measure base learning.
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1. AI-based image generation: The impact of fine-tuning on fake image detection
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Machine learning-based image generation models such as Stable Diffusion are now capable of generating synthetic images that are difficult to distinguish from real images, which gives rise to a number of legal and ethical concerns. As a potential measure of mitigation, it is possible to train neural networks to detect the digital artifacts present in the images synthesized by many generative models. READ MORE
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2. 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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3. BERTie Bott’s Every Flavor Labels : A Tasty Guide to Developing a Semantic Role Labeling Model for Galician
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : For the vast majority of languages, Natural Language Processing (NLP) tools are either absent entirely, or leave much to be desired in their final performance. Despite having nearly 4 million speakers, one such low-resource language is Galician. READ MORE
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4. Modeling code quality using machine intelligence
University essay from Lunds universitet/Matematik LTHAbstract : For any company with a software development branch, one of the most important aspects is to write maintainable, understandable, high-quality source code. This will result in fewer work hours to refactor the code if changes are needed. Therefore it’s expensive to keep working with source code of poor quality. READ MORE
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5. Machine learning based inventory optimization respecting supplier order line fees
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis addresses an inventory management problem of what, when and how many products should be ordered from the supplier applying order line fees. Order line fee is a fixed fee which the company pays to the supplier per every ordered product not depending on the ordered quantity. READ MORE