Advanced search

Showing result 1 - 5 of 51 essays matching the above criteria.

  1. 1. Approximating Reasoning with Transformer Language Models

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Daniel Enström; Viktor Kjellberg; [2023-10-19]
    Keywords : natural language processing; nlp; automated reasoning; logic; inference; machine learning; transformers; language models; BERT; BART;

    Abstract : We conduct experiments with BART, a generative language-model architecture, to investigate its capabilities for approximating reasoning by learning from data. For this we use the SimpleLogic dataset, a dataset of satisfiability problems in propositional logic originally created by Zhang et al. (2022). READ MORE

  3. 2. Hunting Hotspots - A framework to assess the effectiveness of using environmentally extended input-output models as a method to identify CO2-eq hotspots in the upstream supply chain of a company

    University essay from Lunds universitet/LUCSUS

    Author : Elisa Anni Bauer; [2023]
    Keywords : GHG emissions; Effectiveness; Hotspot analysis; Environmentally Extended Input-Output; Sustainability Science; Social Sciences;

    Abstract : Industry’s indirect upstream greenhouse gas (GHG) emissions contribute significantly to climate change. To identify and reduce them, some companies conduct a hotspot analysis using an environmentally extended input-output (EEIO) model (often utilizing EXIOBASE database). READ MORE

  4. 3. A Gradient Boosting Tree Approach for Behavioural Credit Scoring

    University essay from KTH/Matematisk statistik

    Author : Axel Dernsjö; Ebba Blom; [2023]
    Keywords : Machine learning; Random forest; Uncertainty measure; Material development; Empirical Bayes; Maskininlärning; Random forest; Osäkerhetsmått; Materialutveckling; Empirical Bayes;

    Abstract : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. READ MORE

  5. 4. Sequential Machine Learning in Material Science

    University essay from KTH/Matematik (Avd.)

    Author : Victor Bellander; [2023]
    Keywords : Machine learning; Random forest; Uncertainty measure; Material development; Empirical Bayes; Maskininlärning; Random forest; Osäkerhetsmått; Materialutveckling; Empirical Bayes;

    Abstract : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. READ MORE

  6. 5. Achieving carbon emission reduction by efficient re-allocation of production : A product-by-industry analysis of the technical coefficients of Sweden 2016

    University essay from Södertörns högskola/Nationalekonomi

    Author : Loke Hagberg; [2023]
    Keywords : product-by-industry; commodity-by-industry; input-output analysis; degrowth; green growth; inter-industry analysis;

    Abstract : The Paris Agreement has stipulated global lowering of carbon emission to reach the 1.5°C target by 2030. The Intergovernmental Panel on Climate Change has suggested several scenarios with rapid innovation and downscaling of energy usage. READ MORE