Sökning: "prediktion"

Visar resultat 6 - 10 av 280 uppsatser innehållade ordet prediktion.

  1. 6. 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. 7. Impact of Residual Stress on the Warm Pre-Stressing Effect

    Master-uppsats, KTH/Hållfasthetslära

    Författare :Emil Danielsson; [2023]
    Nyckelord :Warm Pre-Stressing effect; Residual stress; Cleavage fracture; Ferritic Steel; Fracture mechanics; Varm förspänning; Restspänningar; Klyvbrott; Brottmekanik; Ferritiskt stål;

    Sammanfattning : Irradiation of a reactor pressure vessel (RPV) causes a shift of the ductile to brittle transition region towards higher temperature regions. In the event of a pressurized thermal shock (PTS), where the temperature drops drastically, the ductile to brittle transition region might be entered for irradiated ferritic steel. LÄS MER

  4. 8. The Impact of the Retrieval Text Set for Text Sentiment Classification With the Retrieval-Augmented Language Model REALM

    Master-uppsats, KTH/Matematik (Inst.)

    Författare :Oscar Blommegård; [2023]
    Nyckelord :The Impact of the Retrieval Text Set for Text Sentiment Classification With the Retrieval-Augmented Language Model REALM; Hämtningsförstärkta språkmodeller; Natural Language Processing; Transformers; Djupinlärning; Textklassificering;

    Sammanfattning : Large Language Models (LLMs) have demonstrated impressive results across various language technology tasks. By training on large corpora of diverse text collections from the internet, these models learn to process text effectively, allowing them to acquire comprehensive world knowledge. LÄS MER

  5. 9. Forecasting U.S. Movie Gross Revenues : A Random Forest Classifier Approach Based on Pre-production Data

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

    Författare :Isak Einberg; Arian Hanifi; [2023]
    Nyckelord :;

    Sammanfattning : Blockbusters screening in cinemas often include star-studded casts in hope of becoming profitable. However, producing a movie is associated with great risk. More than half of the movies released between 2008 and 2012 in the U.S. LÄS MER

  7. 10. 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