Sökning: "contract models"

Visar resultat 1 - 5 av 114 uppsatser innehållade orden contract models.

  1. 1. Natural Language Inference Transfer Learning in a Multi-Task Contract Dataset : In the Case of ContractNLI: a Document Information Extraction System

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Yiu Kei Tang; [2023]
    Nyckelord :;

    Sammanfattning : This thesis investigates the enhancement of legal contract Natural Language Inference (NLI) classification through supervised fine-tuning on general domain NLI, in the case of ContractNLI and Span NLI BERT (Koreeda and Manning, 2021), a multi-task document information extraction dataset and framework. Annotated datasets of a specific professional domain are scarce due to the high time and labour cost required to create them. LÄS MER

  3. 2. The deductibles impact on the risk premium

    Master-uppsats, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Ludvig Bergman; [2023]
    Nyckelord :deductible; insurance mathematics; non-life insurance pricing; Försäkringsmatematik; självrisk; självrisker;

    Sammanfattning : The aim of this master thesis is to derive methods that assesses the impact the deductiblehas on the risk premium of an insurance contract. The additive structure of a deductiblenecessitates approaches beyond treating it as a regular covariate in a generalized linearmodel for predicting the risk premium. LÄS MER

  4. 3. Smart Contract Maturity Model

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Jordy Jordanus Cornelius van Raalte; [2023]
    Nyckelord :smart contracts; maturity models; smart contract problems; blockchain; proof of work; proof of stake; smart contract implementation problems; smart contract use cases; smart contract challenges; smart contract opportunities; bitcoin; Ethereum; Hyperledger fabric; Codra; Ethereum smart contracts; smart contract platforms; maturity models and CMMI maturity model;

    Sammanfattning : A smart contract is a recently emerging technology which enables agreement to be automatable by computers and enforceable by legal enforcement or tamper-proof execution of code. A majority of smart contracts are run on the blockchain which enables smart contract transactions without a central authority. LÄS MER

  5. 4. An initial investigation of Automatic Program Repair for Solidity Smart Contracts with Large Language Models

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Erik Cruz; [2023]
    Nyckelord :Automatic Program Repair; APR; Large Language Models; LLM; Smart Contracts; Smart Contract Audit; Chat GPT; Cybersecurity; Automatisk Lagning av Kod; Stora språkmodeller; Smarta Kontrakt; Granskning av Smarta Kontrakt; Chat GPT; Cybersäkerhet;

    Sammanfattning : This thesis investigates how Large Language Models can be used to repair Solidity Smart Contracts automatically through the main contribution of this thesis, the Transformative Repair Tool. The Transformative Repair Tool achieves similar results to current state-of-the-art tools on the Smartbugs Curated Dataset and is the first published tool that uses Large Language Models to repair Solidity Smart Contracts. LÄS MER

  7. 5. A Predictive Analysis of Customer Churn

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Olivia Eskils; Anna Backman; [2023]
    Nyckelord :Churn prediction; CRM; optimization; applied mathematics; machine learning; gradient boosting; random forest; logistic regression; insurance industry; Kundbortfall; CRM; optimering; tillämpad matematik; maskininlärning; gradient boosting; random forest; logistisk regression; försäkringsbranschen;

    Sammanfattning : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. LÄS MER