Sökning: "sequence prediction"

Visar resultat 21 - 25 av 87 uppsatser innehållade orden sequence prediction.

  1. 21. Exploring the Usage of Neural Networks for Repairing Static Analysis Warnings

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

    Författare :Vincent Paul Lohse; [2021]
    Nyckelord :Automatic Program Repair; Neural Machine Translation; Static Analysis; Transformer Model; Formatting; Automatisk programreparation; neural maskinöversättning; statisk analys; transformatormodell; formatering;

    Sammanfattning : C# provides static analysis libraries for template-based code analysis and code fixing. These libraries have been used by the open-source community to generate numerous NuGet packages for different use-cases. LÄS MER

  3. 22. Improving Input Prediction in Online Fighting Games

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

    Författare :Anton Ehlert; [2021]
    Nyckelord :Fighting games; sequence prediction; machine learning; speculative execution; Fightingspel; sekvensförutsägelse; maskininlärning; spekulativ exekvering;

    Sammanfattning : Many online fighting games use rollback netcode in order to compensate for network delay. Rollback netcode allows players to experience the game as having reduced delay. A drawback of this is that players will sometimes see the game quickly ”jump” to a different state to adjust for the the remote player’s actions. LÄS MER

  4. 23. Short-Term electricity consumption prediction: Elområde 4, Sweden

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Anil Kumar Kothapalli; [2021]
    Nyckelord :Time series prediction; Time series forecasting; CRISP-DM; Data Science; Machine Learning; Sequence Model; SMHI; SCB; ENTSO-E;

    Sammanfattning : This Thesis work is part of course work for the Masters Program in Data Science at LTU.  The focus of this work is mainly to review the literature published to identify state-of-art methodologies applied to predict short-term electricity consumption. LÄS MER

  5. 24. Parasitic Tracking Mobile Wireless Networks

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

    Författare :Bowen Xu; [2021]
    Nyckelord :Location privacy attack and evaluation; mobile network simulation; parasitic attacker; Heuristic LSTM;

    Sammanfattning : Along with the growth and popularity of mobile networks, users enjoy more convenient connection and communication. However, exposure of user presence in mobile networks is becoming a major concern and motivated a plethora of LPPM Location Privacy Protection Mechanisms (LPPMs) have been proposed and analysed, notably considering powerful adversaries with rich data at their disposal, e. LÄS MER

  7. 25. Supervised Learning for Prediction of Tumour Mutational Burden

    Master-uppsats, KTH/Matematisk statistik

    Författare :Joanna Hargell; [2021]
    Nyckelord :Supervised Learning; Tumour Mutational Burden; Generalized Linear Models; Decision trees; Support Vector Machines; statistik; tillämpad matematik; statistisk inlärning; mutationsbörda;

    Sammanfattning : Tumour Mutational Burden is a promising biomarker to predict response to immunotherapy. In this thesis, statistical methods of supervised learning were used to predict TMB: GLM, Decision Trees and SVM. LÄS MER