Sökning: "Similarity Matching"

Visar resultat 1 - 5 av 55 uppsatser innehållade orden Similarity Matching.

  1. 1. Simulating Mobility of Large Population using Mobile Application Data

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

    Författare :Mattias Rydström; Diana Salim; [2024-01-23]
    Nyckelord :Human mobility; mobile application data; synthesize activity plans;

    Sammanfattning : Understanding people’s travel patterns and knowing the frequency of their travel activities provide important insights for effective transport management and infrastructure planning. While traditional travel surveys have historically contributed to this valuable information, they come with shortcomings such as being expensive to collect, easily outdated, and having short time coverage. LÄS MER

  3. 2. The quest for a classical bulge - a study of kinematics, abundances, and ages using microlensed dwarf stars and Gaia

    Master-uppsats, Lunds universitet/Astrofysik; Lunds universitet/Fysiska institutionen

    Författare :Calum Kvernes Macpherson; [2023]
    Nyckelord :Bulge; Milky Way; Kinematics; Galpy; Dwarf Stars; Physics and Astronomy;

    Sammanfattning : Context: We present an kinematical analysis of 90 F and G type dwarf, turn-off, and subgiant stars in the Galactic bulge. These stars were observed with high-resolution spectrographs during gravitational microlensing events This allowed for their ages, abundances, and radial velocities to be ascertained while they were significantly brighter. LÄS MER

  4. 3. Evaluating clustering techniques in financial time series

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

    Författare :Johan Millberg; [2023]
    Nyckelord :clustering; machine learning; financial time series; time series; unsupervised learning; cluster validation; cluster evaluation; klustring; klusteranalys; finansiella tidsserier; maskininlärning; klustervalidering; evalueringsteknik;

    Sammanfattning : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. LÄS MER

  5. 4. Cross-Lingual and Genre-Supervised Parsing and Tagging for Low-Resource Spoken Data

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Iliana Fosteri; [2023]
    Nyckelord :dependency parsing; part-of-speech tagging; low-resource languages; transcribed speech; large language models; cross-lingual learning; transfer learning; multi-task learning; Universal Dependencies;

    Sammanfattning : Dealing with low-resource languages is a challenging task, because of the absence of sufficient data to train machine-learning models to make predictions on these languages. One way to deal with this problem is to use data from higher-resource languages, which enables the transfer of learning from these languages to the low-resource target ones. LÄS MER

  7. 5. Diffusion models for anomaly detection in digital pathology

    Magister-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Ruben Bromée; [2023]
    Nyckelord :out-of-distribution detection; digital pathology data; latent diffusion model; machine learning; neural network; pathology;

    Sammanfattning : Challenges within the field of pathology leads to a high workload for pathologists. Machine learning has the ability to assist pathologists in their daily work and has shown good performance in a research setting. LÄS MER