Essays about: "expectation maximization"

Showing result 6 - 10 of 41 essays containing the words expectation maximization.

  1. 6. Stochastic EM for generic topic modeling using probabilistic programming

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Robin Saberi Nasseri; [2021]
    Keywords : SEM; topic model; probabilistic programming; LDA; DMR; TFP;

    Abstract : Probabilistic topic models are a versatile class of models for discovering latent themes in document collections through unsupervised learning. Conventional inferential methods lack the scaling capabilities necessary for extensions to large-scale applications. READ MORE

  3. 7. Semi-supervised adverse drug reaction detection

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Louis Ohl; [2021]
    Keywords : Semi-supervised learning; Text Classification; Adverse Drug Reaction; Expectation Maximization; Natural Language Processing; Halvväglett lärande; Text klassificering; Läkemedelsrelaterade biverkningar; Naturlig språkbehandling;

    Abstract : Pharmacogivilance consists in carefully monitoring drugs in order to re-evaluate their risk for people’s health. The sooner the Adverse Drug Reactions are detected, the sooner one can act consequently. READ MORE

  4. 8. Comparing Resource Abundance And Intake At The Reda And Wisla River Estuaries

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Saman Zahid; [2021]
    Keywords : Reda and Wisla river estuaries; resource abundance; change in mass; multiple linear regression; generalized additive model; linear mixed effect model; Expectation-maximization; AIC;

    Abstract : The migratory birds stop at different stopover sites during migration. The presence of resources in these stopover sites is essential to regain the energy of these birds. This thesis aims to compare the resource abundance and intake at the two stopover sites: Reda and Wisla river estuaries. READ MORE

  5. 9. Fault Clustering With Unsupervised Learning Using a Modified Gaussian Mixture Model and Expectation Maximization

    University essay from Linköpings universitet/Fordonssystem

    Author : Kevin Lindström; [2021]
    Keywords : ;

    Abstract : When a fault is detected in the engine, the check engine light will come on. After that, it is often up to the mechanic to diagnose the engine fault. Manual fault classification by a mechanic can be time-consuming and expensive. READ MORE

  6. 10. An Analysis of Markov Regime-Switching Models for Weather Derivative Pricing

    University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

    Author : Fredrik Gerdin Börjesson; [2021]
    Keywords : Weather derivatives; temperature modeling; Markov switching models; Lévy processes; expectation-maximization algorithm; generalized hyperbolic distributions; Monte Carlo simulation;

    Abstract : The valuation of weather derivatives is greatly dependent on accurate modeling and forecasting of the underlying temperature indices. The complexity and uncertainty in such modeling has led to several temperature processes being developed for the Monte Carlo simulation of daily average temperatures. READ MORE