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Showing result 1 - 5 of 6 swedish dissertations matching the above criteria.

2. 1. Inverse problems in signal processing : Functional optimization, parameter estimation and machine learning

   Author : Pol del Aguila Pla; Joakim Jaldén; Yonina C. Eldar; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; inverse problems; signal processing; machine learning; biomedical imaging; optimization; proximal optimization; regularization; mathematical modeling; identifiability; likelihood; logconcavity; immunoassays; convolutional coding; functional analysis; abstract inference; learned iterations; unrolled algorithms; Electrical Engineering; Elektro- och systemteknik;

   Abstract : Inverse problems arise in any scientific endeavor. Indeed, it is seldom the case that our senses or basic instruments, i.e., the data, provide the answer we seek. READ MORE

4. 2. Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning

   Author : Axel Ringh; Johan Karlsson; Rodolphe Sepulchre; KTH; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Inverse problems; convex optimization; variational regularization; trigonometric moment problems; optimal mass transport; computed tomography; machine learning; analytic interpolation; delay systems; Inversa problem; konvex optimering; variationell regularisering; trigonometriska momentproblem; optimal masstransport; datortomografi; maskininlärning; analytisk interpolation; system med tidsfördröjning; Mathematics; Matematik;

   Abstract : 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. READ MORE

5. 3. Data-Efficient Reinforcement and Transfer Learning in Robotics

   Author : Xi Chen; Patric Jensfelt; Ville Kyrki; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Datalogi;

   Abstract : In the past few years, deep reinforcement learning (RL) has shown great potential in learning action selection policies for solving different tasks.Despite its impressive success in games, several challenges remain, such as designing appropriate reward functions, collecting large amounts of interactive data, and dealing with unseen cases, which make it difficult to apply RL algorithms to real-world robotics tasks. READ MORE

6. 4. Studio DöBra : creating spaces for engaging with end-of-life issues and interacting across generations through community-based arts activities

   Author : Max Kleijberg; Karolinska Institutet; Karolinska Institutet; []
   Keywords : ;

   Abstract : Background: Studio DöBra was a community-based arts initiative about dying, death, and loss, involving children (9 years old) and older adults (most 80+) as participants. The goals were to support community engagement with end-of-life (EoL) issues and create opportunities for interaction between children and older adults. READ MORE

7. 5. Four Essays on the Measurement of Productive Efficiency

   Author : Dag Fjeld Edvardsen; Göteborgs universitet; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES;

   Abstract : This collection of essays contains two kinds of contributions. All four essays include applications of the existing DEA (Data Envelopment Analysis) toolbox on real world datasets. But the main contribution is that they also offer new and useful tools for practitioners doing efficiency and productivity analysis. READ MORE