Sökning: "Curse of Dimensionality"

Visar resultat 1 - 5 av 18 uppsatser innehållade orden Curse of Dimensionality.

  1. 1. Market Surveillance Using Empirical Quantile Model and Machine Learning

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Daniel Landberg; [2022]
    Nyckelord :Market surveillance; Outlier detection; Empirical quantiles; Empirical distribution; Isolation forest; Principal Component Analysis; PCA; Finance; Marknadsövervakning; Extremvärdes upptäckt; Empiriska kvantiler; Empirisk distribution; Isolationsskog; Huvudkomponent analys; Finans;

    Sammanfattning : In recent years, financial trading has become more available. This has led to more market participants and more trades taking place each day. The increased activity also implies an increasing number of abusive trades. To detect the abusive trades, market surveillance systems are developed and used. LÄS MER

  3. 2. Monte Carlo Integration: A Comparison to Numerical Quadrature

    Kandidat-uppsats, Lunds universitet/Matematik (naturvetenskapliga fakulteten); Lunds universitet/Matematikcentrum

    Författare :Mirjam Karlsson-Müller; [2021]
    Nyckelord :Monte Carlo Methods; Approximation of Integrals; Numerical Quadrature; Curse of Dimensionality; Integrals; Monte Carlo; Mathematics and Statistics;

    Sammanfattning : Integrals are present everywhere in science, and their computation an emphasis in education. When methods of exact computation fail, a great variety of methods of approximation can step in. This project is interested in the Monte Carlo integration methods, an approach, where the integral is approximated based on the Law of Large Numbers. LÄS MER

  4. 3. Learning representations of features of fish for performing regression tasks

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

    Författare :Kristmundur Jónsson; [2021]
    Nyckelord :Representation learning; Deep Learning; regression; auto encoder; Variational auto encoder; Representationsinlärning; Djupinlärning; Regression; autoencoder; Variational autoencoder;

    Sammanfattning : In the ever-changing landscape of the fishing industry, demands for automating specific processes are increasing substantially. Predicting future events eliminates much of the existing communication latency between fishing vessels and their customers and makes real-time analysis of onboard catch possible for the fishing industry. LÄS MER

  5. 4. Solving the Hamilton-Jacobi-Bellman Equation for Route Planning Problems Using Tensor Decomposition

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

    Författare :Albin Mosskull; Kaj Munhoz Arfvidsson; [2020]
    Nyckelord :Autonomous vehicles; HJB equation; Tensordecomposition; Tensor Train decomposition;

    Sammanfattning : Optimizing routes for multiple autonomous vehiclesin complex traffic situations can lead to improved efficiency intraffic. Attempting to solve these optimization problems centrally,i.e. LÄS MER

  7. 5. Multi Agent Reinforcement Learning

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Rikard Isaksson; [2019-06-13]
    Nyckelord :;

    Sammanfattning : Machine learning and artificial intelligence has been a hot topic the last few years, thanks to improved computational power the machine learning framework can now be applied to larger data sets. Reinforcement learning is a group of machine learning algorithms where one does not know the correct answer in advance, much like unsupervised learning. LÄS MER