Essays about: "Probabilistic Graphical Models"

Showing result 1 - 5 of 6 essays containing the words Probabilistic Graphical Models.

  1. 1. Sum-Product Network in the context of missing data

    University essay from KTH/Matematisk statistik

    Author : Pierre Clavier; [2020]
    Keywords : Statistics; Mixture model; Probabilistic Graphical Models; Statistik; Probabilistiska grafiska modeller;

    Abstract : In recent years, the interest in new Deep Learning methods has increased considerably due to their robustness and applications in many fields. However, the lack of interpretability of these models and the lack of theoretical knowledge about them raises many issues. It is in this context that sum product network models have emerged. READ MORE

  2. 2. Basal Metabolic Rate (BMR) estimation using Probabilistic Graphical Models

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Zara Jackson; [2019]
    Keywords : Basal Metabolic Rate; Resting Metabolic Rate; Dynamic Bayesian Networks; Temporal Models; Food Tracking; Calories; Obesity; Pymc3; Probabilistic Programming;

    Abstract : Obesity is a growing problem globally. Currently 2.3 billion adults are overweight, and this number is rising. The most common method for weight loss is calorie counting, in which to lose weight a person should be in a calorie deficit. READ MORE

  3. 3. Latent variable neural click models for web search

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

    Author : Henrik Svebrant; [2018]
    Keywords : web search; click modeling; machine learning; recurrent neural networks; artificial neural networks;

    Abstract : User click modeling in web search is most commonly done through probabilistic graphical models. Due to the successful use of machine learning techniques in other fields of research, it is interesting to evaluate how machine learning can be applied to click modeling. READ MORE

  4. 4. Simultaneous Measurement Imputation and Rehabilitation Outcome Prediction for Achilles Tendon Rupture

    University essay from KTH/Robotik, perception och lärande, RPL

    Author : Charles Hamesse; [2018]
    Keywords : Machine learning; Probabilistic graphical models; Healthcare;

    Abstract : Achilles tendonbrott (Achilles Tendon Rupture, ATR) är en av de typiska mjukvävnadsskadorna. Rehabilitering efter sådana muskuloskeletala skador förblir en långvarig process med ett mycket variet resultat. Att kunna förutsäga rehabiliteringsresultat exakt är avgörande för beslutsfattande stöduppdrag. READ MORE

  5. 5. Nuclear magnetic resonance spectroscopy interpretation for protein modeling using computer vision and probabilistic graphical models

    University essay from Blekinge Tekniska Högskola/Sektionen för datavetenskap och kommunikation

    Author : Piotr Klukowski; [2013]
    Keywords : NMR; peak picking; HOG; protein modeling; Bayesian Network;

    Abstract : Dynamic development of nuclear magnetic resonance spectroscopy (NMR) allowed fast acquisition of experimental data which determine structure and dynamics of macromolecules. Nevertheless, due to lack of appropriate computational methods, NMR spectra are still analyzed manually by researchers what takes weeks or years depending on protein complexity. READ MORE