Sökning: "stokastiskt"

Visar resultat 1 - 5 av 41 uppsatser innehållade ordet stokastiskt.

  1. 1. A Markovian Approach to Financial Market Forecasting

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Kevin Sun Wang; William Borin; [2023]
    Nyckelord :Markov chain; Markov model; stock market prediction; Laplace smoothing; steady-state; forecasting; trading strategy; stochastic; trading algorithm; Markovkedjor; Markovmodell; prediktion; Laplace-jämning; stationär fördelning; tradingstrategi; stokastisk; trading algoritm;

    Sammanfattning : This thesis aims to investigate the feasibility of using a Markovian approach toforecast short-term stock market movements. To assist traders in making soundtrading decisions, this study proposes a Markovian model using a selection ofthe latest closing prices. LÄS MER

  3. 2. Determining Protein Conformational Ensembles by Combining Machine Learning and SAXS

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Samuel Eriksson Lidbrink; [2023]
    Nyckelord :AlphaFold; AlphaFold2; SAXS; protein conformational ensembles; machine learning; protein conformations; reweighting; SAXS; AlphaFold; AlphaFold2; proteinkonformationsensembler; maskininlärning; proteinkonformationer; omviktning;

    Sammanfattning : In structural biology, immense effort has been put into discovering functionally relevant atomic resolution protein structures. Still, most experimental, computational and machine learning-based methods alone struggle to capture all the functionally relevant states of many proteins without very involved and system-specific techniques. LÄS MER

  4. 3. Regularizing Vision-Transformers Using Gumbel-Softmax Distributions on Echocardiography Data

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

    Författare :Alfred Nilsson; [2023]
    Nyckelord :Deep Learning; Vision-Transformers; Echocardiography; Feature Selection; Gumbel-Softmax; Concrete Autoencoders; Regression; Djupinlärning; Vision-Transformers; Ekokardiografi; Feature Selection; GumbelSoftmax; Concrete Autoencoders; Regression;

    Sammanfattning : This thesis introduces an novel approach to model regularization in Vision Transformers (ViTs), a category of deep learning models. It employs stochastic embedded feature selection within the context of echocardiography video analysis, specifically focusing on the EchoNet-Dynamic dataset. LÄS MER

  5. 4. Introducing GA-SSNN: A Method for Optimizing Stochastic Spiking Neural Networks : Scaling the Edge User Allocation Constraint Satisfaction Problem with Enhanced Energy and Time Efficiency

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

    Författare :Nathan Allard; [2023]
    Nyckelord :;

    Sammanfattning : As progress within Von Neumann-based computer architecture is being limited by the physical limits of transistor size, neuromorphic comuting has emerged as a promising area of research. Neuromorphic hardware tends to be substantially more power efficient by imitating the aspects of computations in networks of neurons in the brain. LÄS MER

  7. 5. Robustness of State-of-the-Art Visual Odometry and SLAM Systems

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Cassandra Mannila; [2023]
    Nyckelord :Visual-Inertial Odometry; Visual Odometry; SLAM; Motion blur; ORB-SLAM3; DM-VIO; Robustness;

    Sammanfattning : Visual(-Inertial) Odometry (VIO) and Simultaneous Localization and Mapping (SLAM) are hot topics in Computer Vision today. These technologies have various applications, including robotics, autonomous driving, and virtual reality. They may also be valuable in studying human behavior and navigation through head-mounted visual systems. LÄS MER