Sökning: "String similarity"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden String similarity.

  1. 1. Unsupervised Clustering of Behavior Data From a Parking Application : A Heuristic and Deep Learning Approach

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Edvard Magnell; Joakim Nordling; [2023]
    Nyckelord :ML; Machine learning; clustering; unsupervised learning; deep learning; autoencoder; AI; artificial intelligence;

    Sammanfattning : This report aims to present a project in the field of unsupervised clustering on human behavior in a parking application. With increasing opportunities to collect and store data, the demands to utilize the data in meaningful ways also increase. LÄS MER

  3. 2. Voice Biometrics Exploring The Boundaries Of Speaker Verification

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Oscar Johansson; [2022]
    Nyckelord :;

    Sammanfattning : Recent advancements in computational power, datasets and models have resulted in significant performanceincreases across various speech and speaker recognition models. This work investigates the capabilities ofusing voice as a biometric tool, namely what is referred to as speaker verification. LÄS MER

  4. 3. Structural and Functional Studies of Giant Proteins in Lactobacillus kunkeei

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Strukturbiologi

    Författare :Josefin Ågren; [2019]
    Nyckelord :structural biology; protein expression; Lactobacillus kunkeei; L. kunkeei; small angle X-ray scattering; SAXS; circular dichroism; CD; thermofluor; nano differential scanning fluorimetry; nanoDSF; honey bee; honey crop; extracellular protein;

    Sammanfattning : Lactobacillus kunkeei is one of the most abundant bacteria within the honey crop of the honey bee. Genome sequencing of L. kunkeei isolated from honey bees all over the world showed several genes unique for L. kunkeei. LÄS MER

  5. 4. Application of Topic Models for Test Case Selection : A comparison of similarity-based selection techniques

    Master-uppsats, Linköpings universitet/Programvara och system

    Författare :Kim Askling; [2019]
    Nyckelord :test automation; test case selection; machine learning; latent dirichlet allocation; differential evolution; testautomation; testfallsselektion; maskininlärning; latent dirichlet allocation; differentiell evolution;

    Sammanfattning : Regression testing is just as important for the quality assurance of a system, as it is time consuming. Several techniques exist with the purpose of lowering the execution times of test suites and provide faster feedback to the developers, examples are ones based on transition-models or string-distances. LÄS MER

  7. 5. Relevance feedback-based optimization of search queries for Patents

    Master-uppsats, Linköpings universitet/Interaktiva och kognitiva system

    Författare :Sijin Cheng; [2019]
    Nyckelord :Patent Search; Query Reformulation; Recommendation System; Matrix Decomposition; Text Processing;

    Sammanfattning : In this project, we design a search query optimization system based on the user’s relevance feedback by generating customized query strings for existing patent alerts. Firstly, the Rocchio algorithm is used to generate a search string by analyzing the characteristics of related patents and unrelated patents. LÄS MER