Essays about: "Linear encoder"
Showing result 1 - 5 of 22 essays containing the words Linear encoder.
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1. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
University essay from Lunds universitet/Fysiska institutionenAbstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE
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2. Deep Neural Networks as SurrogateModels for Fuel Performance Codes
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. READ MORE
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3. Sentiment Classification of Amazon Product Reviews
University essay from Uppsala universitet/Statistiska institutionenAbstract : Opinions and attitudes expressed online contain information useful to companies and organizations. By using machine learning and statistical models automated ways of understanding online behavior can be implemented. READ MORE
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4. Impact of model architecture and data distribution on self-supervised federated learning
University essay from Lunds universitet/Matematik LTHAbstract : Data is a crucial resource for machine learning. But in many settings, such as in healthcare or on mobile devices, there are obstacles that make it difficult to utilize the available data. This data is often distributed between many clients and private, meaning that central storage of the data is inadvisable. READ MORE
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5. ANALYSIS OF THE CORRELATION BETWEEN VACCINE STANCES ON SOCIAL MEDIA AND FACTORS OF THE PANDEMIC SITUATION
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Vaccine hesitancy is considered a major threat to global health and social media is playing an increasingly significant role in spreading anti-vaccine sentiments. This study aims to track changes in the proportion of anti-vaccine tweets during a period of the Covid-19 pandemic and explore potential correlations between anti-vaccine stances and various factors of the pandemic situation. READ MORE
