Essays about: "Relative Representation"

Showing result 1 - 5 of 47 essays containing the words Relative Representation.

  1. 1. Topological regularization and relative latent representations

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

    Author : Alejandro García Castellanos; [2023]
    Keywords : Algebraic Topology; Large Language Models; Relative Representation; Representation Learning; Model Stitching; Topological DataAnalysis; Zero-shot; Algebraisk topologi; Stora språkmodeller; Relativ representation; Representationsinlärning; Modell sömmar; Topologisk dataanalys; Zero-shot;

    Abstract : This Master's Thesis delves into the application of topological regularization techniques and relative latent representations within the realm of zero-shot model stitching. Building upon the prior work of Moschella et al. READ MORE

  3. 2. A Comparative Study on Two Offshore Wind Farm Siting Approaches in Sweden

    University essay from KTH/Geoinformatik

    Author : Anders Nyberg; Oskar Sundström; [2023]
    Keywords : Multi-Criteria Decision Making; Analytical Hierarchy Process; Cost Benefit Analysis; Offshore Wind Farm Siting; Swedish Exclusive Economic Zone; Levelized Cost of Energy; GIS; Sweden; Renewable Energy; Offshore Wind Energy; Spatial Model Comparison; Multikriterieanalys; Analytisk hierarkiprocess; Kostnadsintäktsanalys; Siting av havsbaserade vindkraftverk; Sveriges exklusiva ekonomiska zon; Nivåkostnad för energi; GIS; Sverige; Förnybar energi; Havsbaserad vindkraft; Jämförelse av spatiala modeller; Multi-Criteria Decision Making; Analytical Hierarchy Process; Cost Benefit Analysis;

    Abstract : This study aims to explore the ability of a multi-criteria decision making with analytical hierarchy process (MCDM-AHP) model to emulate the results of a cost benefit analysis (CBA) model in the context of offshore wind farm siting within the Swedish exclusive economic zone (EEZ). The research question addressed is whether the MCDM-AHP analysis produces similar results to the CBA analysis. READ MORE

  4. 3. Talk to the Sea: Deep-sea mining, the arts, and contesting narratives of extraction in the deep ocean.

    University essay from Lunds universitet/Kulturgeografi och ekonomisk geografi; Lunds universitet/Institutionen för kulturgeografi och ekonomisk geografi; Lunds universitet/Humanekologi

    Author : Nicholas Frederick Olivier Lepage; [2023]
    Keywords : deep-sea mining; resource frontier; commodities; arts; extractivism; narratives; imaginaries.; Social Sciences;

    Abstract : The deep-sea may be on the verge of becoming the latest frontier for resource extraction of critical metals and minerals in order to build renewable energy technologies such as electric vehicles. This thesis examines the narratives used by the deep-sea mining company The Metals Company to justify the extraction of polymetallic nodules from the seabed in the Clarion Clipperton Zone in the Pacific Ocean. READ MORE

  5. 4. Employee representation on the board of directors and its implications on corporate risk- A quantitative study on diverging stakeholder preferences

    University essay from Göteborgs universitet/Graduate School

    Author : Filip Engelholm; Lukas Nyström; [2022-06-30]
    Keywords : Board level employee representation; Codetermination; Risk preferences; Stakeholder incentives; Agency conflict; Corporate governance;

    Abstract : This study investigates how board-level employee representation (BLER) impacts the risk profile of a firm. More specifically, it investigates whether the binary presence of employees in the board room, or the relative ratio of votes allocated to employees, leads to reduced total, idiosyncratic, or systematic risk. READ MORE

  6. 5. Representation and Efficient Computation of Sparse Matrix for Neural Networks in Customized Hardware

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

    Author : Lihao Yan; [2022]
    Keywords : Convolutional neural networks; Sparse matrix representation; Model compression; Algorithm-hardware co-design; AlexNet; Konvolutionella neurala nätverk; Sparsam matrisrepresentation; Modellkomprimering; Algoritm-hårdvarusamdesign; AlexNet;

    Abstract : Deep Neural Networks are widely applied to various kinds of fields nowadays. However, hundreds of thousands of neurons in each layer result in intensive memory storage requirement and a massive number of operations, making it difficult to employ deep neural networks on mobile devices where the hardware resources are limited. READ MORE