Essays about: "active learning for machine"
Showing result 1 - 5 of 113 essays containing the words active learning for machine.
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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. Analyzing the performance of active learning strategies on machine learning problems
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. READ MORE
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3. Active learning for text classification in cyber security
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the domain of cyber security, machine learning promises advanced threat detection. However, the volume of available unlabeled data poses challenges for efficient data management. This study investigates the potential for active learning, a subset of interactive machine learning, to reduce the effort required for manual data labelling. READ MORE
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4. Utilizing Transformers with Domain-Specific Pretraining and Active Learning to Enable Mining of Product Labels
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : Structured Product Labels (SPLs), the package inserts that accompany drugs governed by the Food and Drugs Administration (FDA), hold information about Adverse Drug Reactions (ADRs) that exists associated with drugs post-market. This information is valuable for actors working in the field of pharmacovigilance aiming to improve the safety of drugs. READ MORE
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5. Designing micro exertion game for 2-minute active breaks with ML-agent-based skeletal tracking act the Godot Engine
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : This thesis presents the design and development of an innovative exergame aimed atcombating the adverse effects of sedentary lifestyles, particularly prevalent among officeworkers and gamers. The game, built using the open-source Godot game engine andGoogle's MediaPipe machine learning framework, utilizes motion capture technology totranslate real-world player movements into in-game actions. READ MORE
