Search for dissertations about: "proximal optimization"

Showing result 6 - 10 of 16 swedish dissertations containing the words proximal optimization.

2. 6. Group-Sparse Regression : With Applications in Spectral Analysis and Audio Signal Processing

   Author : Ted Kronvall; Statistical Signal Processing Group; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; sparse regression; group-sparsity; statistical modeling; regularization; hyperparameter-selection; spectral analysis; audio signal processing; classification; localization; multi-pitch estimation; chroma; convex optimization; ADMM; cyclic coordinate descent; proximal gradient;

   Abstract : This doctorate thesis focuses on sparse regression, a statistical modeling tool for selecting valuable predictors in underdetermined linear models. By imposing different constraints on the structure of the variable vector in the regression problem, one obtains estimates which have sparse supports, i.e. READ MORE

4. 7. 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. 8. Study on Decentralized Machine Learning and Applications to Wireless Caching Networks

   Author : Yu Ye; Ming Xiao; Zhu Han; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Distributed multi-task learning; decentralized optimization; ADMM; mobility-aware wireless caching; Distribuerat lärande med flera uppgifter; decentraliserad optimering; ADMM; mobilitetsmedveten trådlös cache; Electrical Engineering; Elektro- och systemteknik;

   Abstract : To promote the development of distributed machine learning, it is crucial to provide efficient models and training algorithms. This thesis is devoted to the design of distributed multi-task learning and decentralized algorithms, as well as the application of distributed machine learning in wireless caching networks. READ MORE

6. 9. Rank Reduction with Convex Constraints

   Author : Christian Grussler; Institutionen för reglerteknik; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; low-rank approximation; model reduction; non-convex optimization; Douglas-Rachford; matrix completion; overlapping norm; k-support norm; atomic norm;

   Abstract : This thesis addresses problems which require low-rank solutions under convex constraints. In particular, the focus lies on model reduction of positive systems, as well as finite dimensional optimization problems that are convex, apart from a low-rank constraint. READ MORE

7. 10. Costs and consequences in perioperative care : analytic models in studies on pain treatment and on haemodynamic optimization of elderly patients

   Author : Erzsebet Bartha; Karolinska Institutet; Karolinska Institutet; []
   Keywords : ;

   Abstract : Background: Because resources are scarce in health care, costs and consequences of new interventions must be assessed to support informed policy decisions. This thesis analyses the cost-effectiveness of advanced postoperative pain treatment and perioperative haemodynamic optimization by applying decision modelling as an analytic framework. 1. READ MORE