Essays about: "Observation Likelihood model."

Showing result 1 - 5 of 8 essays containing the words Observation Likelihood model..

  1. 1. Monte Carlo Localization with Hilbert maps as Likelihood Fields

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : ALEXANDER WALLÉN KIESSLING; [2023]
    Keywords : Localization; Monte Carlo; Mapping; Hilbert maps; Observation Likelihood model.; Lokalisering; Monte Carlo; Kartläggning; Hilbert kartor; Sensor modell.;

    Abstract : This work focuses on using sparse Hilbert maps as continuous likelihood field observation models, instead of utilizing traditional beam observation models. This observation model is integrated with a Monte Carlo Localization scheme, and localization is simulated in randomly generated 2D mazes. READ MORE

  3. 2. A comparative evaluation of machine learning models for engagement classification during presentations : A comparison of distance- and non-distance-based machine learning models for presentation classification and class likelihood estimation

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

    Author : Rebwar Ali Omer Bajallan; [2022]
    Keywords : Audience engagement; Engagement quantification; Machine learning; Distance-based models; Few-shot learning; Statistical analysis; Publiksengagemang; Engagemangskvantifiering; Maskininlärning; Distansbaserade modeller; Few-shot inlärning; Statistisk analys;

    Abstract : In recent years, there has been a significant increase in the usage of audience engagement platforms, which have allowed for engaging interactions between presenters and their audiences. The increased popularity of the platforms comes from the fact that engaging and interactive presentations have been shown to improve learning outcomes and create positive presentation experiences. READ MORE

  4. 3. Jump Estimation of Hidden Markov Models with Time-Varying Transition Probabilities

    University essay from Lunds universitet/Matematisk statistik

    Author : Henning Tansjö; [2020]
    Keywords : Jump estimation; Hidden Markov model; financial time series; clustering; unsupervised learning.; Mathematics and Statistics;

    Abstract : The Hidden Markov model is applicable to a wide variety of fields. Applied to financial time series, its assumed underlying state sequence can reflect the time series' tendency to behave differently over different periods of time. In many situations, models could be improved by including exogenous data. READ MORE

  5. 4. Doubly Charged Higgs Signal with Same-Sign Tau-inclusive Dilepton Final States

    University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

    Author : Simon Arnling Bååth; [2018]
    Keywords : ATLAS; same-sign; dilepton; higgs; LHC; signal sample; Physics and Astronomy;

    Abstract : Abstract The current Standard Model of particle physics contains few interactions resulting in a final state with two leptons with the same charge. Any observation of an excess of such same-sign dileptons would be an indication of new physics processes, making it a useful channel when searching for exotic physics. READ MORE

  6. 5. A First Study on Hidden Markov Models and one Application in Speech Recognition

    University essay from Linköpings universitet/Matematisk statistik; Linköpings universitet/Tekniska fakulteten

    Author : Maria Servitja Robert; [2016]
    Keywords : Markov chain; Hidden Markov model HMM ; Speech recognition; MatLab simulation.;

    Abstract : Speech is intuitive, fast and easy to generate, but it is hard to index and easy to forget. What is more, listening to speech is slow. Text is easier to store, process and consume, both for computers and for humans, but writing text is slow and requires some intention. READ MORE