Search for dissertations about: "Representation Learning"

Showing result 1 - 5 of 225 swedish dissertations containing the words Representation Learning.

  2. 1. Modularization of the Learning Architecture : Supporting Learning Theories by Learning Technologies

    Author : Fredrik Paulsson; Yngve Sundblad; Miguel Angel-Cecilia; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Technology Enhanced Learning; e-learning; Semantic Web; Service Orientation; Learning Object; Virtual Learning Environment; Computer science; Datavetenskap;

    Abstract : This thesis explores the role of modularity for achieving a better adaptation of learning technology to pedagogical requirements. In order to examine the interrelations that occur between pedagogy and computer science, a theoretical framework rooted in both fields is applied. READ MORE

  4. 2. Representation learning for natural language

    Author : Olof Mogren; RISE; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; artificial neural networks; artificial intelligence; natural language processing; deep learning; machine learning; summarization; representation learning;

    Abstract : Artificial neural networks have obtained astonishing results in a diverse number of tasks. One of the reasons for the success is their ability to learn the whole task at once (endto-end learning), including the representations for data. READ MORE

  5. 3. Representation Learning and Information Fusion : Applications in Biomedical Image Processing

    Author : Elisabeth Wetzer; Nataša Sladoje; Fred Hamprecht; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Representation Learning; Texture Descriptors; Equivariant Neural Networks; Contrastive Learning; Image Classification; Image Registration; Image Retrieval; Digital Pathology; Computerized Image Processing; Datoriserad bildbehandling;

    Abstract : In recent years Machine Learning and in particular Deep Learning have excelled in object recognition and classification tasks in computer vision. As these methods extract features from the data itself by learning features that are relevant for a particular task, a key aspect of this remarkable success is the amount of data on which these methods train. READ MORE

  6. 4. Plug & Play? Stakeholders’ co-meaningmaking of gamification implementations in workplace learning environments

    Author : Adam Palmquist; Göteborgs universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; gamification; stakeholder; design; implementation; adoption; workplace learning; gamification stakeholder design implementation adoption workplace learning;

    Abstract : This dissertation discusses the implementation process of gamification in organisations’ workplace learning environments, focusing on four stakeholder groups: Administrators, Leaders, Providers and Users. These stakeholder groups are represented across the dissertation’s five articles, which present the results of my investigation of the groups’ meaning attributions to the gamification implementations in their organisations’ learning environments. READ MORE

  7. 5. Gender and representation : investigations of bias in natural language processing

    Author : Hannah Devinney; Henrik Björklund; Jenny Björklund; Christian Hardmeier; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NLP; natural language processing; gender bias; social impact of AI; gendered pronouns; neopronouns; gender studies; topic modeling; Computer Science; datalogi; computational linguistics; datorlingvistik; genusvetenskap; gender studies;

    Abstract : Natural Language Processing (NLP) technologies are a part of our every day realities. They come in forms we can easily see as ‘language technologies’ (auto-correct, translation services, search results) as well as those that fly under our radar (social media algorithms, 'suggested reading' recommendations on news sites, spam filters). READ MORE