Search for dissertations about: "Deep Learning"

Showing result 1 - 5 of 108 swedish dissertations containing the words Deep Learning.

  1. 1. Learning and teaching sustainable development in global-local contexts

    Author : Birgitta Nordén; samhälle (NMS) miljö Institutionen för natur; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Contextual Analysis; Critical Knowledge Capabilities; Deep approaches to learning; Deep approaches to teaching; Education for Sustainable Development; ESD; Environmental and Sustainabilty Education Research; ESER; Global classrooms; Global learning; Global eduction; Global - local contexts; Global Learning for Sustainable Development; GLSD; Global teaching and learning; Phenomenography; Sustainable Development; SD; sustainability; Teaching Approaches; Transdisciplinary Teaching; Transitions; Transnational education; Online learning; Transnational learning; Contextual Analysis; Deep Approaches to Learning; Deep Approaches to Teaching; Education for Sustainable Development ESD ; Environmental and Sustainabilty Education Research ESER ; Global Classrooms; Global Learning; Global Learning for Sustainable Development GLSD ; Global-Local Contexts;

    Abstract : The overall aim of this thesis is to develop knowledge of teachingand learning sustainable development in global–local contexts. Theresearch field is global learning for sustainable development (GLSD). READ MORE

  2. 2. Learner support for distance learners : A study of six cases of ICT-based distance education institutions in China

    Author : Shuting Gao; Vinayagum Chinapah; Shangwu Zhao; Chang Zhu; Stockholms universitet; []
    Keywords : SOCIAL SCIENCES; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Learner support; student support; support services; peer support; learner center; collaborative learning; interaction; motivation; critical thinking; creative thinking; deep learning; higher order learning; group learning; small group work; Community of Inquiry CoI ; ICT-based distance learning; Radio and TV University; distance education; Web-based learning; e-Learning; adult education; higher education; International and Comparative Education; internationell och jämförande pedagogik;

    Abstract : This thesis focuses on learner support in Chinese distance education. It draws a picture of Chinese modern distance education, covering the major issues in the field of learner support, and small group work as peer support. READ MORE

  3. 3. Visual Representations and Models: From Latent SVM to Deep Learning

    Author : Hossein Azizpour; Stefan Carlsson; Barbara Caputo; KTH; []
    Keywords : ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; Computer Vision; Machine Learning; Artificial Intelligence; Deep Learning; Learning Representation; Deformable Part Models; Discriminative Latent Variable Models; Convolutional Networks; Object Recognition; Object Detection; Datalogi; Computer Science;

    Abstract : Two important components of a visual recognition system are representation and model. Both involves the selection and learning of the features that are indicative for recognition and discarding those features that are uninformative. READ MORE

  4. 4. Representation learning for natural language

    Author : Olof Mogren; Chalmers University of Technology; []
    Keywords : 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. 5. Protein Model Quality Assessment : A Machine Learning Approach

    Author : Karolis Uziela; Arne Elofsson; Liam McGuffin; Stockholms universitet; []
    Keywords : NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Protein Model Quality Assessment; structural bioinformatics; machine learning; deep learning; support vector machine; proq; Artificial Neural Network; protein structure prediction; biokemi med inriktning mot bioinformatik; Biochemistry towards Bioinformatics;

    Abstract : Many protein structure prediction programs exist and they can efficiently generate a number of protein models of a varying quality. One of the problems is that it is difficult to know which model is the best one for a given target sequence. Selecting the best model is one of the major tasks of Model Quality Assessment Programs (MQAPs). READ MORE