Search for dissertations about: "algorithms"
Showing result 21 - 25 of 2518 swedish dissertations containing the word algorithms.
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21. First-Order Algorithms for Communication Efficient Distributed Learning
Abstract : Innovations in numerical optimization, statistics and high performance computing have enabled tremendous advances in machine learning algorithms, fuelling applications from natural language processing to autonomous driving.To deal with increasing data volumes, and to keep the training times of increasingly complex machine learning models reasonable, modern optimization algorithms distribute both data and computations over a large number of machines. READ MORE
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22. Algorithms and Systems for Virtual Machine Scheduling in Cloud Infrastructures
Abstract : With the emergence of cloud computing, computing resources (i.e., networks, servers, storage, applications, etc.) are provisioned as metered on-demand services over net- works, and can be rapidly allocated and released with minimal management effort. READ MORE
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23. First-Order Algorithms for Communication Efficient Distributed Learning
Abstract : Technological developments in devices and storages have made large volumes of data collections more accessible than ever. This transformation leads to optimization problems with massive data in both volume and dimension. READ MORE
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24. Exact and approximation algorithms for graph problems with some biological applications
Abstract : In this thesis we study several combinatorial problems in algorithmic graph theory and computational biology, and different algorithmical approaches for solving them. In particular, we focus on graph algorithms, seeking for the most part polynomial or sub-exponential exact solutions, but in some cases also approximate solutions. READ MORE
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25. A bilevel approach to parameter tuning of optimization algorithms using evolutionary computing : Understanding optimization algorithms through optimization
Abstract : Most optimization problems found in the real world cannot be solved using analytical methods. For these types of difficult optimization problems, an alternative approach is needed. READ MORE