Essays about: "embedding models"

Showing result 21 - 25 of 104 essays containing the words embedding models.

  1. 21. Attribute Embedding for Variational Auto-Encoders : Regularization derived from triplet loss

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

    Author : Anton E. L. Dahlin; [2022]
    Keywords : Variational Auto-Encoder; Triplet Loss; Contrastive Loss; Generative Models; Metric Learning; Latent Space; Attribute Manipulation; Variationsautokodare; Triplettförlust; Kontrastiv Förlust; Generativa Modeller; Metrisk Inlärning; Latent Utrymme; Attributmanipulation;

    Abstract : Techniques for imposing a structure on the latent space of neural networks have seen much development in recent years. Clustering techniques used for classification have been used to great success, and with this work we hope to bridge the gap between contrastive losses and Generative models. READ MORE

  3. 22. Evaluation of the performance of machine learning techniques for email classification

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

    Author : Isabella Tapper; [2022]
    Keywords : Natural Language Processing; Text Representations; Email Classification; Text Classification; Behandling Av Naturliga Språk; Text Representation; epost-klassificering; Textklassificering;

    Abstract : Manual categorization of a mail inbox can often become time-consuming. Therefore many attempts have been made to use machine learning for this task. One essential Natural Language Processing (NLP) task is text classification, which is a big challenge since an NLP engine is not a native speaker of any human language. READ MORE

  4. 23. Sentence Embeddings and Automatic Classification of Menu Items

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Aljaz Kovac; [2022]
    Keywords : ;

    Abstract : Caspeco AB is a company in Uppsala that specializes in providing IT solutions to the hospitality industry. Their customers (restaurants, pubs, etc.) classify their menu items freely, which leads to a classification that is often inconsistent and unreliable. READ MORE

  5. 24. Will Svenska Akademiens Ordlista Improve Swedish Word Embeddings?

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Ellen Ahlberg; [2022]
    Keywords : word embedding; natural language processing; NLP;

    Abstract : Unsupervised word embedding methods are frequently used for natural language processing applications. However, the unsupervised methods overlook known lexical relations that can be of value to capture accurate semantic word relations. This thesis aims to explore if Swedish word embeddings can benefit from prior known linguistic information. READ MORE

  6. 25. Generating Directed & Weighted Synthetic Graphs using Low-Rank Approximations

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Erik Lundin; [2022]
    Keywords : graphs; networks; graph generation; synthetic data; machine learning; low-rank approximation;

    Abstract : Generative models for creating realistic synthetic graphs constitute a research area that is increasing in popularity, especially as the use of graph data is becoming increasingly common. Generating realistic synthetic graphs enables sharing of the information embedded in graphs without directly sharing the original graphs themselves. READ MORE