Sökning: "markov"

Visar resultat 11 - 15 av 430 uppsatser innehållade ordet markov.

  1. 11. Intrusion Detection in IT Infrastructures using Hidden Markov Models

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

    Författare :Christopher Liu; Sabrina Al-Haddad; [2023]
    Nyckelord :;

    Sammanfattning : In the past decades, cloud based services have developed rapidly. And as a result, cybercrimehas increased in sophistication as well as frequency. It therefore becomes vital to have solidprotection against such attacks, especially for infrastructures containing sensitive information. LÄS MER

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

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

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

    Sammanfattning : 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. LÄS MER

  4. 13. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator

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

    Författare :Jiaming Huang; [2023]
    Nyckelord :;

    Sammanfattning : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. LÄS MER

  5. 14. S-MARL: An Algorithm for Single-To-Multi-Agent Reinforcement Learning : Case Study: Formula 1 Race Strategies

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

    Författare :Marinaro Davide; [2023]
    Nyckelord :Reinforcement Learning; Single-to-Multi-Agent; Learning Stability; Exploration-Exploitation trade-off; Race Strategy Optimization; Förstärkningsinlärning; Från en till flera agenter; Stabilitet vid inlärning; Utforskning-exploatering; Optimering av tävlingsstrategier;

    Sammanfattning : A Multi-Agent System is a group of autonomous, intelligent, interacting agents sharing an environment that they observe through sensors, and upon which they act with actuators. The behaviors of these agents can be either defined upfront by programmers or learned by trial-and-error resorting to Reinforcement Learning. LÄS MER

  7. 15. A Statistical Approach to Understand the Evolution of Exotic Butterfly Species

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Elin Eliasson; Rebecka Haraldsson; [2023]
    Nyckelord :Phylogenetics; Tree reconstruction; COI barcoding; General Time Reversible Model; K80 Model; Evolution; Butterflies; Fylogenetik; Rekonstruktion av träd; COI barcoding; General Time Reversible modell; K80 modell; Evolution; Fjärilar;

    Sammanfattning : The alarming rate at which we see the decline in biodiversity due to human activity has raised concerns about the well-being of our planet. Butterflies which serve as pollinators are an essential part of many ecosystems and sensitive indicators of environmental changes and can provide valuable insight into how ecosystems function and evolve. LÄS MER