Essays about: "pareto optimal"

Showing result 16 - 20 of 40 essays containing the words pareto optimal.

  1. 16. One-Shot Neural Architecture Search for Deep Multi-Task Learning in Computer Vision

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gianluigi Silvestri; [2020]
    Keywords : ;

    Abstract : In this work, a neural architecture search algorithm for multi-task learning is proposed. Given any dataset and tasks group, the method aims to find the optimal way of sharing layers among tasks in convolutional neural networks. READ MORE

  3. 17. Simulation-Based Portfolio Optimization with Coherent Distortion Risk Measures

    University essay from KTH/Matematisk statistik

    Author : Andreas Prastorfer; [2020]
    Keywords : Risk Management; Portfolio Optimization; Conditional Value-at-Risk; Coherent Distortion Riks Measures; Elliptical Distribution; GARCH model; Normal Copulas; Extreme Value Theory; Risk Contributions; Riskhantering; Portföljoptimering; Conditional Value-at-Risk; Koherenta distortionsriskmått; Elliptiska fördelningar; GARCH modeller; Normal-copula; Extremvärdes teori; Riskbidrag;

    Abstract : This master's thesis studies portfolio optimization using linear programming algorithms. The contribution of this thesis is an extension of the convex framework for portfolio optimization with Conditional Value-at-Risk, introduced by Rockafeller and Uryasev. READ MORE

  4. 18. Automation of robust Pareto front-based radiotherapy treatment planning for prostate cancer patients

    University essay from Lunds universitet/Sjukhusfysikerutbildningen

    Author : Niklas Eliasson; [2019]
    Keywords : Medicine and Health Sciences;

    Abstract : Purpose/objective The main objective was to create a software that automates the process of creating treatment plans used for Pareto front-based dose planning for prostate cancer patients. A second objective/purpose was to add a robustness test to this program to evaluate the effect of prostate movements on the treatment plans. READ MORE

  5. 19. Modelling Diversity of Solutions

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Linnea Ingmar; [2019]
    Keywords : ;

    Abstract : For many combinatorial problems, finding a single solution is not enough. This is clearly the case for multi-objective optimisation problems, as they have no single “best solution” and, thus, it is useful to find a representation of the non-dominated solutions (the Pareto frontier). READ MORE

  6. 20. Machine learning multicriteria optimization in radiation therapy treatment planning

    University essay from KTH/Matematisk statistik

    Author : Tianfang Zhang; [2019]
    Keywords : Radiation therapy; automated planning; machine learning; multicriteria optimization; dose mimicking; dose--volume criteria; Gaussian mixture model; expectation--maximization; exponential tilting; Strålterapi; automatisk planering; maskininlärning; flermålsoptimering; dosåterskapande; dos--volym-kriterier; gaussisk blandningsmodell; förväntning--maximering; exponentiell lutning;

    Abstract : In radiation therapy treatment planning, recent works have used machine learning based on historically delivered plans to automate the process of producing clinically acceptable plans. Compared to traditional approaches such as repeated weighted-sum optimization or multicriteria optimization (MCO), automated planning methods have, in general, the benefits of low computational times and minimal user interaction, but on the other hand lack the flexibility associated with general-purpose frameworks such as MCO. READ MORE