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Showing result 1 - 5 of 34 swedish dissertations matching the above criteria.

  2. 1. Selection and ranking procedures based on likelihood ratios

    Author : Jayanti Chotai; Umeå universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Subset selection; likelihood ratio; hypothesis testing; order restrictions; normal distribution; uniform distribution; complete ranking; P* -condition; loss function;

    Abstract : This thesis deals with random-size subset selection and ranking procedures• • • )|(derived through likelihood ratios, mainly in terms of the P -approach.Let IT , . .. READ MORE

  4. 2. Configuration Design of a High Performance and Responsive Manufacturing System : Modeling and Evaluation

    Author : Daniel Tesfamariam Semere; Bengt Lindberg; Bolmsjö Gunnar; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Configuration; Modeling; Evaluation; Manufacturing engineering; Produktionsteknik;

    Abstract : Configuring and reconfiguring a manufacturing system is presented as an issue with increasing importance due to higher frequency of system configuration or major reconfigurations to accommodate new set of requirements and/or the need to configure the system to make it usable across generations of products or product families. This research has focused in the modeling, evaluation and selection decisions which involves multiple, incommensurate and conflicting objectives. READ MORE

  5. 3. Optimization beyond a single submodular function : Submodular optimization for ranking, decision trees and diversity

    Author : Guangyi Zhang; Aristides Gionis; Danupon Na Nongkai; Parinya Chalermsook; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Submodular optimization; Approximation algorithms; Ranking; Decision trees; Diversity; Datalogi; Computer Science;

    Abstract : Submodular functions characterize mathematically the ubiquitous ``diminishing-returns'’ property. They are widely used to describe core subjects in numerous applications, including economic utility, redundancy in information, spread of influence in social networks, and more. READ MORE

  6. 4. Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems : Improving the efficiency of time-constrained optimization

    Author : Florian Siegmund; Kalyanmoy Deb; Amos H.C. Ng; Sanaz Mostaghim; Högskolan i Skövde; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Evolutionary multi-objective optimization; simulation-based optimization; guided search; preference-based optimization; reference point; decision support; noise; stochastic systems; dynamic resampling; budget allocation; sequential sampling; hybrid; ranking and selection; Natural sciences; Naturvetenskap; Technology; Teknik; Production and Automation Engineering; Produktion och automatiseringsteknik;

    Abstract : In preference-based Evolutionary Multi-objective Optimization (EMO), the decision maker is looking for a diverse, but locally focused non-dominated front in a preferred area of the objective space, as close as possible to the true Pareto-front. Since solutions found outside the area of interest are considered less important or even irrelevant, the optimization can focus its efforts on the preferred area and find the solutions that the decision maker is looking for more quickly, i. READ MORE

  7. 5. Tools and pipelines for interpreting the impacts of genetic variants

    Author : Abhishek Niroula; Proteinbioinformatik; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Bioinformatics; Genetic variants; Machine Learning; cancer genomics; Variation interpretation;

    Abstract : Next generation sequencing (NGS) methods have been widely used for diagnosis. As time and cost of sequencing has reduced sharply during the last decade, genome and exome-wide sequencing have increasingly been used. READ MORE