Essays about: "over training"
Showing result 1 - 5 of 586 essays containing the words over training.
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1. "The Uphill AI Contract Challenge The Intra-Active Task: Reimagining Contracts"
University essay from Göteborgs universitet/Juridiska institutionenAbstract : The traditional contract theories are insufficient to handle the challenges Artificial Intelligence (AI) is currently causing and will continue to cause to contract law. These challenges involve problems concerning the subject/object divide, agency, the embedding of legal code into interactive programming code, and ethical aspects concerning the transfer of power away from lawyers. READ MORE
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2. Using NeRF- and Mesh-Based Methods to Improve Visualisation of Point Clouds
University essay from Lunds universitet/Matematik LTHAbstract : In recent years, the field of generating synthetic images from novel view points has seen some major improvements. Most importantly with the publication of Neural Radiance Fields allowing for extremely detailed and accurate 3D novel views. READ MORE
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3. INTRODUCTION OF CYBERSECURITY INTO VERIFICATION PROCESSES FOR CONSTRUCTION EQUIPMENT : Cybersecurity Verification
University essay from Mälardalens universitet/Inbyggda systemAbstract : Technology is evolving at a very fast pace in various domains, including the construction equipment industry. Although the increased automation and connectivity in different products, such as vehicles, heavy machinery, and many others, have advantages, they also have disadvantages. READ MORE
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4. Transforming Chess: Investigating Decoder-Only Architecture for Generating Realistic Game-Like Positions
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Chess is a deep and intricate game, the master of which depends on learning tens of thousands of the patterns that may occur on the board. At Noctie, their mission is to aid this learning process through humanlike chess AI. A prominent challenge lies in curating instructive chess positions for students. READ MORE
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5. 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
