Sökning: "Semi-supervised learning"

Visar resultat 11 - 15 av 78 uppsatser innehållade orden Semi-supervised learning.

1. 11. Using Semi-Supervised Learning for Email Classification

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Anders Inde; [2022]
   Nyckelord :applied mathematics; semi-supervised learning; self-training; doc2vec; classification; tillämpad matematik; semi-vägledd inlärning; self-training; doc2vec; klassificering;

   Sammanfattning : In this thesis, we investigate the use of self-training, a semi-supervised learning method, to improve binary classification of text documents. This means making use of unlabeled samples, since labeled samples can be expensive to generate. More specifically, we want to classify emails that are retrieved by Skandinaviska Enskilda Banken (SEB). LÄS MER

3. 12. Semi-supervised Sentiment Analysis for Sentence Classification

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Eirini Tsakiri; [2022]
   Nyckelord :sentiment analysis; text classification; semi-supervised learning; machine learning;

   Sammanfattning : In our work, we deploy semi-supervised learning methods to perform Sentiment Analysis on a corpus of sentences, meant to be labeled as either happy, neutral, sad, or angry. Sentence-BERT is used to obtain high-dimensional embeddings for the sentences in the training and testing sets, on which three classification methods are applied: the K-Nearest Neighbors classifier (KNN), Label Propagation, and Label Spreading. LÄS MER

4. 13. An Industrial Application of Semi-supervised techniques for automatic surface inspection of stainless steel. : Are pseudo-labeling and consistency regularization effective in a real industrial context?

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

   Författare :Mattia Zoffoli; [2022]
   Nyckelord :Deep Learning; Computer Vision; Semi-Supervised Learning; Automatic Inspection; Stainless Steel; Djupt lärande; datorseende; Semi-övervakat lärande; Automatisk inspektion; Rostfritt stål;

   Sammanfattning : Recent developments in the field of Semi-Supervised Learning are working to avoid the bottleneck of data labeling. This can be achieved by leveraging unlabeled data to limit the amount of labeled data needed for training deep learning models. LÄS MER

5. 14. Defect classification in LPBF images using semi-supervised learning

   Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013); Karlstads universitet/Avdelningen för datavetenskap

   Författare :Anton Göransson; [2022]
   Nyckelord :Additive manufacturing; Laser powder bed fusion; Machine learning; Siamese neural networks; Deep learning; Defect classification;

   Sammanfattning : Laser powder bed fusion is an additive manufacturing technique that is capable of building metallic parts by spreading many layers of metal powder over a build surface and using a laser to melt specific sections of the surface. The part is built by melting consecutive layers on top of each other until the design is completed. LÄS MER

7. 15. Deep Ensembles for Self-Training in NLP

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

   Författare :Axel Alness Borg; [2022]
   Nyckelord :Self-training; Semi-Supervised Learning; Natural Language Processing; Ensembles; Transformers; Knowledge Distillation; Självträning; Semi-Övervakad Inlärning; Datalingvistik; Ensembler; Transformers; Kunskaps Destillering;

   Sammanfattning : With the development of deep learning methods the requirement of having access to large amounts of data has increased. In this study, we have looked at methods for leveraging unlabeled data while only having access to small amounts of labeled data, which is common in real-world scenarios. LÄS MER