Essays about: "Elastic Weight Consolidation"
Found 5 essays containing the words Elastic Weight Consolidation.
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1. Machines Do Not Have Little Gray Cells: : Analysing Catastrophic Forgetting in Cross-Domain Intrusion Detection Systems
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Cross-domain intrusion detection, a critical component of cybersecurity, involves evaluating the performance of neural networks across diverse datasets or databases. The ability of intrusion detection systems to effectively adapt to new threats and data sources is paramount for safeguarding networks and sensitive information. READ MORE
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2. Integrating Telecommunications-Specific Language Models into a Trouble Report Retrieval Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the development of large telecommunications systems, it is imperative to identify, report, analyze and, thereafter, resolve both software and hardware faults. This resolution process often relies on written trouble reports (TRs), that contain information about the observed fault and, after analysis, information about why the fault occurred and the decision to resolve the fault. READ MORE
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3. Avoiding Catastrophic Forgetting in Continual Learning through Elastic Weight Consolidation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Image classification is an area of computer science with many areas of application. One key issue with using Artificial Neural Networks (ANN) for image classification is the phenomenon of Catastrophic Forgetting when training tasks sequentially (i.e Continual Learning). READ MORE
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4. Continual imitation learning: Enhancing safe data set aggregation with elastic weight consolidation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of machine learning currently draws massive attention due to ad- vancements and successful applications announced in the last few years. One of these applications is self-driving vehicles. A machine learning model can learn to drive through behavior cloning. Behavior cloning uses an expert’s behavioral traces as training data. READ MORE
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5. Relationship between Shear-Wave Velocity and Consolidation Parameters of Peat
University essay from Lunds universitet/Geoteknik; Lunds universitet/Institutionen för byggvetenskaperAbstract : There is a need of developing methods for evaluating material parameters for peat. It is hard and costly to obtain undisturbed samples for laboratory testing of the peat. Therefore, in this thesis the possibility of using in situ measurements of the shear wave velocity for first order estimates of the consolidation parameters has been investigated. READ MORE