Sökning: "Maximum Likelihood"

Visar resultat 31 - 35 av 289 uppsatser innehållade orden Maximum Likelihood.

  1. 31. Identifiering av den invasiva lupinen (Lupinus polyphyllus) : Övervakning av blomsterlupiner längst vägkanter med hjälp av högupplösta UAV-data och GIS

    Kandidat-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)

    Författare :Pontus Petersen; [2022]
    Nyckelord :Classification; Random Forest; Maximum likelihood; UAV; Lupinus polyphyllus; Lupine; Klassificering; Random Forest; Maximum likelihood; UAV; Lupinus polyphyllus; Lupiner;

    Sammanfattning : Sveriges vägdiken och vägkanter är hem till många blommor och växtarter. Lupin-blomman Lupinus polyphyllus är en invasiv växtart som kom till Sverige under 1800-talet. Lupinblommans egenskaper gör att växten konkurrerar ut andra växtarter och negativt påverkar svensk biologisk mångfald. LÄS MER

  3. 32. Theoretical and numerical aspects of the pattern maximum likelihood estimator, with a view towards symmetric functionals estimation

    Kandidat-uppsats, Lunds universitet/Matematisk statistik

    Författare :Paulina Benthem Ciano; [2022]
    Nyckelord :Mathematics and Statistics;

    Sammanfattning : Suppose that an infinite population is partitioned into different species. Given a random sample from the population of species, we are interested in estimating the species richness, which is the number of different species inhabiting a given area. The species richness is a symmetric functional of the probability mass function. LÄS MER

  4. 33. Analyzing the Negative Log-Likelihood Loss in Generative Modeling

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

    Författare :Aleix Espuña I Fontcuberta; [2022]
    Nyckelord :Generative modeling; Normalizing flows; Generative Adversarial Networks; MaximumLikelihood Estimation; Real Non-Volume Preserving flow; Fréchet Inception Distance; Misspecification; Generativa metoder; Normalizing flows; Generative adversarial networks; Maximum likelihood-metoden; Real non-volume preserving flow; Fréchet inception distance; felspecificerade modeller;

    Sammanfattning : Maximum-Likelihood Estimation (MLE) is a classic model-fitting method from probability theory. However, it has been argued repeatedly that MLE is inappropriate for synthesis applications, since its priorities are at odds with important principles of human perception, and that, e.g. LÄS MER

  5. 34. The Extended Maximum Likelihood Estimation for Monotone Probability Mass Function with Application using Forensic Data

    Kandidat-uppsats, Lunds universitet/Matematisk statistik

    Författare :Tiancheng Ma; [2022]
    Nyckelord :Statistical Inference Statistics Maximum Likelihood Estimation Non-parametric Estimation; Mathematics and Statistics;

    Sammanfattning : This paper presents solutions to the modelling of frequency data of species labels, but the data is incomplete in the sense that some rarely-occurring species labels give zero observed frequency. The data can be modelled by a monotone probability function with parameters to be estimated, and yet, due to the order constraints and the incomplete data, using conventional parameter estimation methods will cause trouble. LÄS MER

  7. 35. Classification of Repeated Measurement Data Using Growth Curves and Neural Networks

    Master-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

    Författare :Kasper Andersson; [2022]
    Nyckelord :Repeated Measurement Data; Sequential Data; Growth Curve Model; Linear Discriminant Analysis; Neural Network; Recurrent Neural Network; LSTM; Upprepade Mätningar; Sekventiell Data; Tillväxtkurvor; Linjär Diskriminantanalys; Neurala Nätverk; Recurrent Neurala Nätverk; LSTM;

    Sammanfattning : This thesis focuses on statistical and machine learning methods designed for sequential and repeated measurement data. We start off by considering the classic general linear model (MANOVA) followed by its generalization, the growth curve model (GMANOVA), designed for analysis of repeated measurement data. LÄS MER