Sökning: "Datagenerering"

Visar resultat 1 - 5 av 21 uppsatser innehållade ordet Datagenerering.

1. 1. Evaluating Membership Inference Attacks on Synthetic Data Generated With Formal Privacy Guarantees

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Elliot Beskow; Erik Lindé; [2023]
   Nyckelord :;

   Sammanfattning : Synthetic data generation using generative machine learning has been increasinglypublicized as a new tool for data anonymization. It promises to offer privacy whilemaintaining the statistical properties of the original dataset. This study focuses on the riskswith synthetic data by looking mainly at two aspects: privacy and utility. LÄS MER

3. 2. Synthetic data generation for domain adaptation of a retriever-reader Question Answering system for the Telecom domain : Comparing dense embeddings with BM25 for Open Domain Question Answering

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Filip Döringer Kana; [2023]
   Nyckelord :Natural Language Processing; Transformers; Deep Learning; Question Answering; Data Generation; Språkteknologi; Transformers; Djupinlärning; Frågebesvaring; Datagenerering;

   Sammanfattning : Having computer systems capable of answering questions has been a goal within Natural Language Processing research for many years. Machine Learning systems have recently become increasingly proficient at this task with large language models obtaining state-of-the-art performance. LÄS MER

4. 3. Soft sensor for snow density measurements

   Kandidat-uppsats, Mittuniversitetet/Institutionen för elektronikkonstruktion

   Författare :Filippa Brandt; [2022]
   Nyckelord :Machine Learning; soft sensor; snow density; linear regression; GPR; neural network; SVM;

   Sammanfattning : The aim of this project was to examine if a machine learning model could be used to predict snow density from six different weather parameters. These were artificially generated snow density, air temperature, ground temperature, relative humidity, windspeed and the snow depth change. LÄS MER

5. 4. Energy-Efficient Private Forecasting on Health Data using SNNs

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Davide Di Matteo; [2022]
   Nyckelord :Spiking neural networks; differential privacy; synthetic data generation; smart health care; fitness trackers.; Spikande neurala nätverk; differentiell integritet; syntetisk datagenerering; smart hälsovård; träningsspårare.;

   Sammanfattning : Health monitoring devices, such as Fitbit, are gaining popularity both as wellness tools and as a source of information for healthcare decisions. Predicting such wellness goals accurately is critical for the users to make informed lifestyle choices. LÄS MER

7. 5. Generative Adversarial Networks for Vehicle Trajectory Generation

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Kristupas Bajarunas; [2022]
   Nyckelord :Data Generation; Generative Adversarial Networks; Vehicle Trajectories; Datagenerering; Generativa Motståndarnätverk; Fordonsbanor;

   Sammanfattning : Deep learning models heavily rely on an abundance of data, and their performance is directly affected by data availability. In mobility pattern modeling, problems, such as next location prediction or flow prediction, are commonly solved using deep learning approaches. LÄS MER