Essays about: "Automatic hyperparameter tuning"

Found 5 essays containing the words Automatic hyperparameter tuning.

1. 1. Metadata assisted finetuning with largepre-trained language models forabstractive text summarization : Multi-task finetuning with abstractive text summarization and categoryclassification

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Max Sjöblom; [2023]
   Keywords : ;

   Abstract : Text summarization is time-consuming for humans to complete but is still required in many areas. Recent progress in machine learning research, especially in the natural language domain, has produced promising results. READ MORE

3. 2. Machine learning for automatic grading of knee osteoarthritis from X-ray radiographs

   University essay from Uppsala universitet/Avdelningen Vi3

   Author : Ellen Siggstedt; [2023]
   Keywords : machine learning; knee osteoarthritis; image analysis; deep learning; X-ray; neural networks;

   Abstract : Knee osteoarthritis is a growing problem due to increasing risk factors such as age and obesity. It is a common task for a radiologist to grade osteoarthritis in three compartments (medial tibiofemoral (MTF), lateral tibiofemoral (LTF) and patellofemoral (PF)) in a knee from different image views of X-ray images, to decide if osteoarthritis is the cause of pain for the patient. READ MORE

4. 3. Modelling and Run-Time Control of Localization System for Resource-Constrained Devices

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Albin Mosskull; [2022]
   Keywords : Cross-layer optimization; Resource-constrained devices; Automatic hyperparameter tuning; Runtime control; Visual-inertial localization; Korsskiktsoptimering; Resursbegränsade enheter; Automatisk hyperparameterreglering; Körtidsreglering; Visuell-tröghets lokalisering;

   Abstract : As resource-constrained autonomous vehicles are used for more and more applications, their ability to achieve the lowest possible localization error without expending more power than needed is crucial. Despite this, the parameter settings of the localization systems, both for the platform and the application, are often set arbitrarily. READ MORE

5. 4. Model Based Reinforcement Learning for Automatic Tuning of Cavity Filters

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Doumitrou Daniil Nimara; [2021]
   Keywords : Reinforcement Learning; Cavity Filter Tuning; Sample Complexity; Background Planning; Förstärkande inlärning; inställning av kavitetsfilter; provkomplexitet; bakgrundsplanering;

   Abstract : As telecommunication continues developing, the demand for mass production of well calibrated Base Transceiver Stations (BTS) components increases. Cavity Filters are an essential piece of every BTS; however, manufacturing tolerances often lead to detuned filters which require costly post-production fine tuning. READ MORE

6. 5. Addressing the Rare Word Problem in Source Code Modelling

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Linn Ivstam; [2020]
   Keywords : utomatic program repair; neural machinetranslation; sequence to sequence; byte pairing encoding; copymechanism;

   Abstract : The field of automatic program repair has adapteddeep learning techniques. Sequence to sequence neural networkshave successfully been applied in neural machine translation(NMT). This can also be applied to automatic program repair,attempting to translate buggy source code into fixed sourcecode. READ MORE