Essays about: "Neuronnätverk."

Showing result 6 - 10 of 37 essays containing the word Neuronnätverk..

  1. 6. Random matrix theory in machine learning

    University essay from KTH/Matematik (Avd.)

    Author : Lina Leopold; [2023]
    Keywords : Mathematics; mathematical statistics; machine learning; random matrix theory; neural networks; Matematik; matematisk statistik; maskininlärning; slumpmatristeori; neuronnätverk;

    Abstract : In this thesis, we review some applications of random matrix theory in machine learning and theoretical deep learning. More specifically, we review data modelling in the regime of numerous and large dimensional data, a method for estimating covariance matrix distances in the aforementioned regime, as well as an asymptotic analysis of a simple neural network model in the limit where the number of neurons is large and the data is both numerous and large dimensional. READ MORE

  2. 7. Artificial Neural Networks and Inductive Biases for Multi-Instance Multi-Modal Tabular Data : A Case Study for Default Probability Estimation in Small-to-Medium Enterprise Lending

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gustav Röhss; [2022]
    Keywords : ;

    Abstract : The success of artificial neural networks in homogeneous data domains such as images, textual data, and audio and other signals has had considerable impact on Machine Learning and science in general. The domain of heterogeneous tabular data, while arguably much more common, remains much less explored with regards to artificial neural networks and deep learning. READ MORE

  3. 8. Machine Learning Models for Estimating Temperatures of Electric Powertrains

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Dinan Li; [2022]
    Keywords : Powertrain; machine learning; temperature monitoring; neuron network; Drivlina; maskininlärning; temperaturövervakning; neuronnätverk;

    Abstract : Towards a sustainable future, more and more powertrains are being electrified today, thus it is important to prevent unwanted failures and secure a reliable operation. Monitoring the internal temperatures of powertrains and keeping them under their thresholds is an important first step. READ MORE

  4. 9. News article segmentation using multimodal input : Using Mask R-CNN and sentence transformers

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gustav Henning; [2022]
    Keywords : Historical newspapers; Image segmentation; Multimodal learning; Deep learning; Digital humanities; Mask R-CNN; Historiska tidningar; Bildsegmentering; Multimodal inlärning; Djupinlärning; Digital humaniora; Mask R-CNN;

    Abstract : In this century and the last, serious efforts have been made to digitize the content housed by libraries across the world. In order to open up these volumes to content-based information retrieval, independent elements such as headlines, body text, bylines, images and captions ideally need to be connected semantically as article-level units. READ MORE

  5. 10. AI Trained to Predict Thresholds of 2D Ellipse Percolation Systems

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Nirav Surajlal; [2021]
    Keywords : Low-dimensional Nanomaterials; Percolation Threshold; Machine Learning; Regression; Two-dimensional Heterogeneous Ellipse System; Lågdimensionella nanomaterial; Perkolering Tröskel; Maskininlärning; Regression; Tvådimensionellt Heterogent Ellipssystem;

    Abstract : Percolation theory is a relevant area of research in Nanotechnology because of its wide applications in nanoelectronics based on thin films of nanoparticles and composites, amongst others. In nanotechnology, systems are often explored through modelling and simulations. READ MORE