Sökning: "Maximum likelihood-metoden"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden Maximum likelihood-metoden.

1. 1. 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

3. 2. Assessment of Modern Statistical Modelling Methods for the Association of High-Energy Neutrinos to Astrophysical Sources

   Master-uppsats, KTH/Matematisk statistik

   Författare :Valentin Minoz; [2021]
   Nyckelord :Statistics; Astrophysics; Neutrino sources; Mixture models; Monte Carlo methods; Maximum likelihood estimation; Statistik; Astrofysik; Neutrinokällor; Blandningsmodeller; Monte Carlo-metoder; Maximum likelihood-metoden;

   Sammanfattning : The search for the sources of astrophysical neutrinos is a central open question in particle astrophysics. Thanks to substantial experimental efforts, we now have large-scale neutrino detectors in the oceans and polar ice. LÄS MER

4. 3. Parameterskattning av spatiala klusterprocesser med en inblick i nervdata

   Kandidat-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

   Författare :Hanna Ekelund; Elsa Helle; Lirim Kadriu; Casper Opperud; Hanna Skytt; Samuel Thorén; [2020-07-01]
   Nyckelord :diabetesneuropati; minimum contrast-metoden; Monte Carlo-simulering; parkorrelationsfunktionen; Ripleys K-funktion; spatiala punktmönster; thomasprocessen.;

   Sammanfattning : Ny teknik har lett till möjligheten att ta fram detaljerade bilder på nerverna i ytterhuden med hjälp av mikroskopi, vilket i sin tur avslöjat olika detaljer kring fördelningen av nervfibrer. Hos patienter med olika former av neuropati har det kunnat uttydas en större grad av klustring för nervtrådsändarna, jämfört med hos friska individer. LÄS MER

5. 4. Joint Estimation and Calibration for Motion Sensor

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

   Författare :Peng Liu; [2020]
   Nyckelord :State space model; accelerometer array; parameter estimation; Maximum Likelihood; Expectation Maximization; Gradient Descent; ill-conditioned matrix.; tillståndsmodell; accelerometerarray; parameterskattning; maximimetoden; väntevärdesmaximering; gradientsökning; illakonditionerade matriser.;

   Sammanfattning : In the thesis, a calibration method for positions of each accelerometer in an Inertial Sensor Array (IMU) sensor array is designed and implemented. In order to model the motion of the sensor array in the real world, we build up a state space model. Based on the model we use, the problem is to estimate the parameters within the state space model. LÄS MER

7. 5. Deinterleaving of radar pulses with batch processing to utilize parallelism

   Kandidat-uppsats, KTH/Kommunikationssystem, CoS

   Författare :Emma Lind; Mattias Stahre; [2020]
   Nyckelord :Cluster analysis; DBSCAN; Parallelization; Signal Separation; Unsupervised learning; Klusteranalys; DBSCAN; Parallellisering; Signal Separation; Oövervakat lärande;

   Sammanfattning : The threat level (specifically in this thesis, for aircraft) in an environment can be determined by analyzing radar signals. This task is critical and has to be solved fast and with high accuracy. The received electromagnetic pulses have to be identified in order to classify a radar emitter. LÄS MER