Essays about: "Maskininlärning"

Showing result 1 - 5 of 902 essays containing the word Maskininlärning.

  1. 1. Making Use of the Factor Zoo: An unpretentious attempt to predict asset returns using machine learning methods.

    University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Author : Line Clausen; Jesper Strömberg; [2022-02-15]
    Keywords : ;

    Abstract : Factor modeling with the purpose of estimating assets returns is a dynamic and ever changing subject within finance. Recent literature has presented over 300 different fac-tors that seem to have significance in predicting asset returns. This new phenomenon in factor modeling has been dubbed ”The Factor Zoo”. READ MORE

  2. 2. Innovation in Defense : characteristics of high-performing defense startups

    University essay from Uppsala universitet/Företagsekonomiska institutionen

    Author : Sebastian Uggla; [2022]
    Keywords : Defense; Innovation; Venture Capital; SBIR; Machine Learning; Patents; Försvar; Innovation; Riskkapital; SBIR; Maskininlärning; Patent;

    Abstract : Recently several European countries have announced massive increases in their military budgets. Innovation initiatives organized by NATO and the European Defence Fund will also be conducted over the coming decade. READ MORE

  3. 3. Investigating Relations between Regularization and Weight Initialization in Artificial Neural Networks

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik

    Author : Rasmus Sjöö; [2022]
    Keywords : Artificial Neural Networks; L1 Regularization; L2 Regularization; Loss Function; Maximum Likelihood; Regularization Strength Synthetic Data Generation; Weight Initialization; Physics and Astronomy;

    Abstract : L2 regularization is a common method used to prevent overtraining in artificial neural networks. However, an issue with this method is that the regularization strength has to be properly adjusted for it to work as intended. This value is usually found by trial and error which can take some time, especially for larger networks. READ MORE

  4. 4. Real-time Human Detection using Convolutional Neural Networks with FMCW RADAR RGB data

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Anna Phan; Rogelio Medina; [2022]
    Keywords : Human Detection; Machine Learning; Convolutional Neural Networks; YOLO; FMCW Radar; Human Detection Evaluation; Människodetektering; Maskininlärning; Neurala faltningsnät; Djupa faltningsnät; YOLO; FMCW Radar; Utvärdering;

    Abstract : Machine learning has been employed in the automotive industry together with cameras to detect objects in surround sensing technology. You Only Look Once is a state-of-the-art object detection algorithm especially suitable for real-time applications due to its speed and relatively high accuracy compared to competing methods. READ MORE

  5. 5. Supervised Machine Learning Modeling in Secondary Metallurgy : Predicting the Liquid Steel Temperature After the Vacuum Treatment Step of the Vacuum Tank Degasser

    University essay from KTH/Materialvetenskap

    Author : Roberto Vita; [2022]
    Keywords : Industy 4.0; Machine Learning; Statistical Modeling; Temperature Prediction; Vacuum Tank Degasser; Vacuum Treatment Step.; Industri 4.0; Maskininlärning; Statistisk modellering; Temperaturförutsägelse; Vakuumbehandlingssteg; Vakuumtankavgasare;

    Abstract : In recent years the steelmaking industry has been subjected to continuous attempts to improve its production route. The main goals has been to increase the competitiveness and to reduce the environmental impact. The development of predictive models has therefore been of crucial importance in order to achieve such optimization. READ MORE