Sökning: "k-NN"

Visar resultat 1 - 5 av 34 uppsatser innehållade ordet k-NN.

  1. 1. Predicting House Prices on the Countryside using Boosted Decision Trees

    Master-uppsats, KTH/Matematisk statistik

    Författare :War Revend; [2020]
    Nyckelord :Machine Learning; Predicting House Prices; Shrinkage Methods; Random Forest; Decision Tree; AdaBoost; Gradient Boosting; LightGBM; CatBoost; XGBoost; Maskininlärning; Förutseende av Huspriser; Krympningsmetoder; Random Forest; Beslutsträd; AdaBoost; Gradient Boosting; LightGBM; CatBoost; XGBoost;

    Sammanfattning : This thesis intends to evaluate the feasibility of supervised learning models for predicting house prices on the countryside of South Sweden. It is essential for mortgage lenders to have accurate housing valuation algorithms and the current model offered by Booli is not accurate enough when evaluating residence prices on the countryside. LÄS MER

  2. 2. Applicera maskininlärning på vägtrafikdata för att klassificera gatutyper i Stockholm

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Alexander Engberg; [2020]
    Nyckelord :maskininlärning; k-nn; random forest; klassificering; trafikdata;

    Sammanfattning : In this thesis, two different machine learning models have been applied on road traffic data from two large cities in Sweden: Gothenburg and Stockholm. The models have been evaluated with regard to classification of street types in urban environments. LÄS MER

  3. 3. Boundary Representation Modeling from Point Clouds

    Master-uppsats, KTH/Bro- och stålbyggnad; KTH/Bro- och stålbyggnad

    Författare :Oskar Aronsson; Julia Nyman; [2020]
    Nyckelord :Point Cloud; Photogrammetry; RANSAC; Modeling; Bridge Inspection; Boundary Representation; Punktmoln; Fotogrammetri; RANSAC; Modellering; Brobesiktning; BREP;

    Sammanfattning : Inspections of bridges are today performed ocularly by an inspector at arm’s lengths distance to evaluate damages and to assess its current condition. Ocular inspections often require specialized equipment to aid the inspector to reach all parts of the bridge. LÄS MER

  4. 4. Models for Risk assessment of Mobile applications

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Chigozie Charles Ikwuegbu; [2020]
    Nyckelord :Risk Assessment; Security and Privacy; Machine Learning; Mobile application security; Mo-bile application metadata;

    Sammanfattning : Mobile applications are software that extend the functionality of our smartphones by connecting us with friends and a wide range of other services. Android, which is an operating system based on the Linux kernel, leads the market with over 2.6 million applications recorded on their official store. LÄS MER

  5. 5. DDoS datasets : Use of machine learning to analyse intrusion detection performance

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Stefanos Kiourkoulis; [2020]
    Nyckelord :;

    Sammanfattning : Threats of malware, attacks and intrusion have been around since the very conception ofcomputing. Yet, it was not until the sudden growth of the internet that awareness of security anddigital assets really started to pick up steam. LÄS MER