Search for dissertations about: "machine learning"
Showing result 1 - 5 of 302 swedish dissertations containing the words machine learning.
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1. Modularization of the Learning Architecture Supporting Learning Theories by Learning Technologies
University dissertation from Stockholm : KTHAbstract : 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
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2. Protein Model Quality Assessment A Machine Learning Approach
University dissertation from Stockholm : Department of Biochemistry and Biophysics, Stockholm UniversityAbstract : 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
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3. Understanding Complex Diseases and Disease Causative Agents The Machine Learning way
University dissertation from Uppsala : Acta Universitatis UpsaliensisAbstract : Diseases can be caused by foreign agents – pathogens – such as viruses, bacteria and other parasites, entering the body or by an internal malfunction of the body itself. The partial understanding of diseases like cancer and the ones caused by viruses, like the influenza A viruses (IAVs) and the human immunodeficiency virus, means we still do not have an efficient cure or defence against them. READ MORE
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4. Using Learning Analytics to Understand and Support Collaborative Learning
University dissertation from Stockholm : Department of Computer and Systems Sciences, Stockholm UniversityAbstract : Learning analytics (LA) is a rapidly evolving research discipline that uses insights generated from data analysis to support learners and optimize both the learning process and learning environment. LA is driven by the availability of massive data records regarding learners, the revolutionary development of big data methods, cheaper and faster hardware, and the successful implementation of analytics in other domains. READ MORE
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5. Representation learning for natural language
University dissertation from ; Chalmers tekniska högskola; GothenburgAbstract : 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
