Sökning: "prediktion"

Visar resultat 36 - 40 av 280 uppsatser innehållade ordet prediktion.

1. 36. Synthetic Graph Generation at Scale : A novel framework for generating large graphs using clustering, generative models and node embeddings

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

   Författare :Johan Hammarstedt; [2022]
   Nyckelord :Data Anonymization; Graph Learning; Generative Graph Modeling; Graph Clustering; Node Embedding; Synthetic Data; Dataanonymisering; Grafinlärning; Generativa graf-modeller; Graf klustring; Länk prediktion; Nodinbäddning; Syntetisk data;

   Sammanfattning : The field of generative graph models has seen increased popularity during recent years as it allows us to model the underlying distribution of a network and thus recreate it. From allowing anonymization of sensitive information in social networks to data augmentation of rare diseases in the brain, the ability to generate synthetic data has multiple applications in various domains. LÄS MER

3. 37. LaMOSNet: Latent Mean-Opinion-Score Network for Non-intrusive Speech Quality Assessment : Deep Neural Network for MOS Prediction

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

   Författare :Fredrik Cumlin; [2022]
   Nyckelord :Speech naturalness assessment; Speech quality assessment; Mean opinion score; Voice conversion challenge; Semi-supervised learning; Noisy labels.; Naturligt tal bedömning; Ljudkvalitetsbedömning; Medel bedömningsvärdet; Talkonverteringsutmaningen; Semi-övervakad inlärning; Varierande märkningar.;

   Sammanfattning : Objective non-intrusive speech quality assessment aimed to emulate and correlate with human judgement has received more attention over the years. It is a difficult problem due to three reasons: data scarcity, noisy human judgement, and a potential uneven distribution of bias of mean opinion scores (MOS). LÄS MER

4. 38. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data

   Master-uppsats, KTH/Matematisk statistik

   Författare :Billy Lu; [2022]
   Nyckelord :Probability of Default; Credit Risk; Short-term Default Prediction; Machine Learning; Gradient Boosting; Thresholding; Sannolikheten för Fallissemang; Kreditrisk; Kortsiktig Fallissemang Prediktion; Maskininlärning; Gradientförstärkning; Tröskling;

   Sammanfattning : Probability of Default (PD) is a standard metric to model and monitor credit risk, a major risk facing financial institutions. Traditional PD models are used to forecast risk levels in the long-term, while short-term PD predictions are rarer, but they can support management decisions on an operational level. LÄS MER

5. 39. Pre-training Molecular Transformers Through Reaction Prediction

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

   Författare :Johan Broberg; [2022]
   Nyckelord :Neural Networks; Transformers; Transfer Learning; Molecular Property Prediction; Reaction Prediction; Cheminformatics; Neurala nätverk; Transformers; Överförd inlärning; Prediktion av molekylers egenskaper; Reaktions prediktion; Keminformatik;

   Sammanfattning : Molecular property prediction has the ability to improve many processes in molecular chemistry industry. One important application is the development of new drugs where molecular property prediction can decrease both the cost and time of finding new drugs. LÄS MER

7. 40. Finding Corresponding Regions In Different Mammography Projections Using Convolutional Neural Networks

   Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

   Författare :Emil Eriksson; [2022]
   Nyckelord :Machine Learning; Convolutional Neural Network; U-net; Mammography; Corresponding Regions; MLO and CC; Medical Image Processing;

   Sammanfattning : Mammography screenings are performed regularly on women in order to detect early signs of breast cancer, which is the most common form of cancer. During an exam, X-ray images (called mammograms) are taken from two different angles and reviewed by a radiologist. LÄS MER