Sökning: "maskininlärning"

Visar resultat 1 - 5 av 489 uppsatser innehållade ordet maskininlärning.

  1. 1. Maskininlärning för diagnosticering av perifer neuropati

    Kandidat-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Margareta Carlerös; Nina Malmqvist; Josefin Nilsson; Fredrik Skärberg; [2019-07-02]
    Nyckelord :Klassificering; AI; Statistiskinlärning; k-NN; Slumpmässig skog; Neurala nätverk; Medicinsk diagnostik; Dynamiskt Svettest;

    Sammanfattning : This report investigates the possibility of diagnosing peripheral neuropathy with the help ofnon-parametic classification methods. Peripheral neuropathy is a disease state characterizedby damage on the nerves furthest out in the nervous system, with symptoms first occuring inthe feet. The data used in this project comes from Dr. LÄS MER

  2. 2. Motion Prediction of Surrounding Vehicles in Highway Scenarios With Deep Learning

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

    Författare :Samir Khays; [2019]
    Nyckelord :;

    Sammanfattning : Anticipating the future positions of the surrounding vehicles is a crucial task foran autonomous vehicle in order to drive safely. To foresee complex manoeuvresfor longer time horizons, a framework that relies on high-level properties ofmotion and is able to incorporate, e.g. contextual features, is needed. LÄS MER

  3. 3. A Partially Observable Markov Decision Process for Breast Cancer Screening

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Joshua Hudson; [2019]
    Nyckelord :POMDP; Markov Decision Process; Breast Cancer; Screening; Operations Research;

    Sammanfattning : In the US, breast cancer is one of the most common forms of cancer and the most lethal. There are many decisions that must be made by the doctor and/or the patient when dealing with a potential breast cancer. LÄS MER

  4. 4. Classification of High Risk Prostate Cancer using Deep Learning

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Elin Olofsson; [2019]
    Nyckelord :Prostate Cancer; CNN; Deep Learning; PRIAS; Active Surveillance; Digital Pathology; Mathematics and Statistics;

    Sammanfattning : Prostate cancer is one of the most common types of cancer for men, making proper diagnostic essential. Using machine learning as a tool to help in digital pathology has become increasingly popular and helps to limit the high intra observer variability between pathologists. LÄS MER

  5. 5. Bid Forecasting in Public Procurement

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM); KTH/Skolan för industriell teknik och management (ITM)

    Författare :Karim Stiti; Shih Jung Yape; [2019]
    Nyckelord :Bidding in public procurement; Count data regression; Economically most advantageous tenders; Lowest price tenders; Machine learning; Multiple linear regression; Nonparametric bootstrap; Position performance coefficient; Sealed-bid auctions; Stochastic dominance; Support vector regression.; Budgivningsmodeller I offentliga upphandlingar; Ekonomiskt mest fördelaktiga anbud; Förseglade auktioner; Lägsta-pris anbud; Maskininlärning; Multipel linjär regression.;

    Sammanfattning : Public procurement amounts to a significant part of Sweden's GDP. Nevertheless, it is an overlooked sector characterized by low digitization and inefficient competition where bids are not submitted based on proper mathematical tools. LÄS MER