Sökning: "matematik träning"
Visar resultat 1 - 5 av 9 avhandlingar innehållade orden matematik träning.
1. Methods for quantitative analysis of myocardial perfusion SPECT : validated with magnetic resonance imaging, phantom studies and expert readers
Sammanfattning : In this thesis, methods for automated analysis of myocardial perfusion single photon emission computer tomography (myocardial perfusion SPECT, MPS) images have been successfully developed and evaluated. MPS images show the perfusion of the myocardium and are used for diagnosing patients with suspected ischemic heart disease. LÄS MER
2. Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning
Sammanfattning : This thesis, which mainly consists of six appended papers, primarily considers a number of inverse problems in imaging and system identification.In particular, the first two papers generalize results for the rational covariance extension problem from one to higher dimensions. LÄS MER
3. Early Elementary School Interventions in Reading and Mathematics
Sammanfattning : Supplemental special education support in reading and mathematics is essential for some children who struggle to learn basic reading or mathematics skills in their first years of schooling. Previous research shows that supplemental phonics and early numeracy and arithmetic instruction help students at risk for reading or mathematics difficulties. LÄS MER
4. Lärande i matematik : Om resonemang och matematikuppgifters egenskaper
Sammanfattning : Since mathematical tasks are central to the teaching of mathematics, it is crucial to extend our knowledge of the characteristic features of tasks that are conducive to student development of problem-solving and reasoning abilities as well as conceptual understanding. The aim of the dissertation is to investigate how different types of mathematical tasks affect student learning and choice of learning strategies. LÄS MER
5. Numerical algorithms for high dimensional integration with application to machine learning and molecular dynamics
Sammanfattning : This thesis contains results on high dimensional integration with two papers, paper I and paper II, presenting applications in machine learning and two papers, paper III and paper IV, presenting applications to molecular dynamics.In paper I we present algorithms based on a Metropolis test for training shallow neural networks with trigonometric activation functions. LÄS MER