Essays about: "Risk classification model"

Showing result 6 - 10 of 90 essays containing the words Risk classification model.

  1. 6. Predictive Modeling and Statistical Inference for CTA returns : A Hidden Markov Approach with Sparse Logistic Regression

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Oskar Fransson; [2023]
    Keywords : Probability theory; Statistical inference; finance; CTA; managed futures; machine learning; statistical learning; stochastic process; sparse logistic regression; Markov Chain Monte Carlo; Hidden Markov model;

    Abstract : This thesis focuses on predicting trends in Commodity Trading Advisors (CTAs), also known as trend-following hedge funds. The paper applies a Hidden Markov Model (HMM) for classifying trends. Additionally, by incorporating additional features, a regularized logistic regression model is used to enhance prediction capability. READ MORE

  3. 7. Anticipating Glacier Lake Outburst Floods (GLOFs): an impact-based forecasting framework for managing GLOF risks in Nepal.

    University essay from Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Author : Grace Muir; [2023]
    Keywords : Anticipatory Action; Impact-based Forecasting; Glacier Lake Outburst Flood; Nepal; Risk-informed Early Action; Prediction; Disaster Risk Management; Science General;

    Abstract : Glacier lake outburst floods (GLOFs) are an increasingly documented threat across the Himalayan region, wherein Nepal is situated. GLOFs involve a rapid discharge of water from a lake situated at the side, front, within, beneath, or on the surface of a glacier. READ MORE

  4. 8. A Transformer-Based Scoring Approach for Startup Success Prediction : Utilizing Deep Learning Architectures and Multivariate Time Series Classification to Predict Successful Companies

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

    Author : Gustaf Halvardsson; [2023]
    Keywords : Machine learning; Time Series Classification; Transformers; Gated Recurrent Unit; Venture Capital; Maskininlärning; tidsseriesklassifiering; Transformer; Gated Recurrent Unit; riskkapital;

    Abstract : The Transformer, an attention-based deep learning architecture, has shown promising capabilities in both Natural Language Processing and Computer Vision. Recently, it has also been applied to time series classification, which has traditionally used statistical methods or the Gated Recurrent Unit (GRU). READ MORE

  5. 9. KARTAL: Web Application Vulnerability Hunting Using Large Language Models : Novel method for detecting logical vulnerabilities in web applications with finetuned Large Language Models

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

    Author : Sinan Sakaoglu; [2023]
    Keywords : Broken Access Control; Vulnerability; Large Language Models; Web Application; API; Detection; Scanner; DAST; Application Security; Brutet åtkomstkontroll; Sårbarhet; Stora språkmodeller; Webbapplikation; API; Upptäckt; Skanner; DAST; Applikationssäkerhet;

    Abstract : Broken Access Control is the most serious web application security risk as published by Open Worldwide Application Security Project (OWASP). This category has highly complex vulnerabilities such as Broken Object Level Authorization (BOLA) and Exposure of Sensitive Information. READ MORE

  6. 10. A Comparative Analysis of Decision Tree Models in Identifying Landslide Susceptibility and Type Classification

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Levi Jan Zuiverloon; [2023]
    Keywords : Landslides; landslide susceptibility mapping; Random Forest; Extreme Gradient Boosting; machine learning models; multiclass classification; binary classification; risk assessment; mitigation strategies; Italy; Aosta Valley; infrastructure vulnerability; supervised learning algorithms; Earth and Environmental Sciences;

    Abstract : Landslides pose a significant risk to human life and infrastructure, especially in Italy, which has a high frequency of landslide occurrences. To mitigate these hazards, Landslide Susceptibility Mapping (LSM) is crucial for identifying risk areas and developing appropriate mitigation strategies. READ MORE