Essays about: "Semi- Övervakad Inlärning"

Showing result 6 - 10 of 19 essays containing the words Semi- Övervakad Inlärning.

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

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

   Author : Fredrik Cumlin; [2022]
   Keywords : 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.;

   Abstract : 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). READ MORE

3. 7. Style Transfer Paraphrasing for Consistency Training in Sentiment Classification

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

   Author : Núria Casals; [2021]
   Keywords : Semi-Supervised Learning; Data Augmentation; Sentiment Classification; Neural Paraphrasing; Semi-övervakad inlärning; Data förändring; Sentimentklassificering; Neural parafrasering;

   Abstract : Text data is easy to retrieve but often expensive to classify, which is why labeled textual data is a resource often lacking in quantity. However, the use of labeled data is crucial in supervised tasks such as text classification, but semi-supervised learning algorithms have shown that the use of unlabeled data during training has the potential to improve model performance, even in comparison to a fully supervised setting. READ MORE

4. 8. Semi-Supervised Learning for Cell Death Assays

   University essay from Umeå universitet/Institutionen för fysik

   Author : Nelly Westman; [2021]
   Keywords : ;

   Abstract : Chemotherapy is a type of cancer treatment that uses drugs to kill the cancer cells. In order to evaluate the drug performance, we need cell death assays. Today, most cell death assays are based on fluorometric detection, which can cause phototoxic effects. READ MORE

5. 9. Semi- Supervised and Fully Supervised Learning for Fashion Images : A Comparison Study

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

   Author : Carl Mannerstråle; [2021]
   Keywords : Semi- Supervised Learning; Convolutional Neural Networks; Fashion E- Commerce; Fashion Classification; Deep Learning; Labeled Data; Semi- Övervakad Inlärning; Djupa Neurala Nätverk; Mode E- handel; Klassificering av Modebilder; Djupinlärning; Annoterad Data;

   Abstract : Image recognition is a subfield in computer vision, representing a set of methods for analyzing images. Image recognition systems allow computers to automatically find patterns and draw conclusions directly from images. READ MORE

6. 10. Semi-Supervised Deep Learning using Consistency-Based Methods for Segmentation of Medical Images

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

   Author : Axel Rönnberg; [2020]
   Keywords : ;

   Abstract : In radiation therapy, a form of cancer treatment, accurately locating the anatomical structures is required in order to limit the impact on healthy cells. The automatic task of delineating these structures and organs is called segmentation, where each pixel in an image is classified and assigned a label. READ MORE