Sökning: "neural networks"

Visar resultat 1 - 5 av 1088 uppsatser innehållade orden neural networks.

  1. 1. Determining linguistic predictor for the classification of subjective cognitive impairment and mild cognitive impairment using machine learning

    Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Författare :Tian Wang; [2020-09-01]
    Nyckelord :mild cognitive impairment; sibjective cognitive impairment; natural language processing; support vector machine; neural networks;

    Sammanfattning : Introduction Mild Cognitive Impairment (MCI) is a neurological condition characterized by cognitive decline greater than expected for an individual's age and education level. Subjective Cognitive Impairment (SCI) is a selfreported decline in cognitive abilities but not clinically identified as MCI. LÄS MER

  2. 2. Resource Optimal Neural Networks for Safety-critical Real-time Systems

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Joakim Åkerström; [2020-07-10]
    Nyckelord :Data science; machine learning; deep learning; neural networks; network compression; network acceleration; safety-critical systems; real-time systems;

    Sammanfattning : Deep neural networks consume an excessive amount of hardware resources, makingthem difficult to deploy to real-time systems. Previous work in the field of networkcompression lack the explicit hardware feedback necessary to control the resourceconstraints imposed by such systems. LÄS MER

  3. 3. Text analysis for email multi label classification

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Kyriaki Paniskaki; Sanjit Harsha Kadam; [2020-07-08]
    Nyckelord :natural language processing; machine learning; multi label text classification; deep neural networks; bilingual texts; emails; short texts;

    Sammanfattning : This master’s thesis studies a multi label text classification task on a small dataset of bilingual, English and Swedish, short texts (emails). Specifically, the size ofthe data set is 5800 emails and those emails are distributed among 107 classes withthe special case that the majority of the emails includes the two languages at thesame time. LÄS MER

  4. 4. Deep Learning and the Heston Model:Calibration & Hedging

    Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Författare :Oliver Klingberg Malmer; Victor Tisell; [2020-07-03]
    Nyckelord :deep learning; deep hedging; deep calibration; option pricing; stochastic volatilty; Heston model; S P 500 index options; incomplete markets; transaction costs;

    Sammanfattning : The computational speedup of computers has been one of the de ning characteristicsof the 21st century. This has enabled very complex numerical methods for solving existingproblems. As a result, one area that has seen an extraordinary rise in popularity over the lastdecade is what is called deep learning. LÄS MER

  5. 5. Predicting Asset Prices with Machine Learning

    Kandidat-uppsats,

    Författare :Adam Eklund; Valter Trollius; [2020-06-29]
    Nyckelord :Machine learning; neural networks; OLS regression; asset pricing; financial forecasting; out-of-sample; predictability;

    Sammanfattning : This study examines whether machine learning techniques such as neural networks contain predictability when modeling asset prices and if they can improve on asset pricing prediction compared to traditional OLS-regressions. This is analyzed through measuring and comparing the out-of-sample R2 to find each models’ predictive power. LÄS MER