Sökning: "Machine Learning"
Visar resultat 1 - 5 av 345 avhandlingar innehållade orden Machine Learning.
1. Modularization of the Learning Architecture Supporting Learning Theories by Learning TechnologiesDetta är en avhandling från Stockholm : KTH
Sammanfattning : 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. LÄS MER
- Detta är en avhandling från Stockholm : Department of Biochemistry and Biophysics, Stockholm University
Sammanfattning : 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). LÄS MER
- Detta är en avhandling från Karlskrona : Blekinge Tekniska Högskola
Sammanfattning : Energy efficiency in machine learning explores how to build machine learning algorithms and models with low computational and power requirements. Although energy consumption is starting to gain interest in the field of machine learning, still the majority of solutions focus on obtaining the highest predictive accuracy, without a clear focus on sustainability. LÄS MER
- Detta är en avhandling från Uppsala : Acta Universitatis Upsaliensis
Sammanfattning : 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. LÄS MER
- Detta är en avhandling från Stockholm : Department of Computer and Systems Sciences, Stockholm University
Sammanfattning : 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. LÄS MER