Sökning: "Bayesian estimator"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden Bayesian estimator.

1. 1. Parameter Inference for Stochastic Models of Gene Expression in Eukaryotic Cells

   Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Ansar Siddiqui; [2023]
   Nyckelord :;

   Sammanfattning : Simulation models are often used to study a system or phenomenon. However, before a simulation model can be used, its parameter needs to be fit to mimic observed data. This is called the parameter inference problem. LÄS MER

3. 2. A Bayesian Bee Colony Algorithm for Hyperparameter Tuning of Stochastic SNNs : A design, development, and proposal of a stochastic spiking neural network and associated tuner

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

   Författare :Oskar Falkeström; [2023]
   Nyckelord :edge computing; edge user allocation; constraint satisfaction problem; bin packing problem; spiking neural networks; SNN; stochastic spiking neural networks; neuromorphic computing; hyperparameter tuning; swarm intellience; artificial bee colony algorithm; tree-structured Parzen estimator; stochastic optimization; Bayesian optimization.;

   Sammanfattning : With the world experiencing a rapid increase in the number of cloud devices, continuing to ensure high-quality connections requires a reimagining of cloud. One proponent, edge computing, consists of many distributed and close-to-consumer edge servers that are hired by the service providers. LÄS MER

4. 3. Bayesian Networks for Modelling the Respiratory System and Predicting Hospitalizations

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

   Författare :Victor Lopo Martinez; [2023]
   Nyckelord :Bayesian Networks; Structure Learning; Conditional Probability Tables; Maximum Likelihood Estimator; XGBoost; and Respiratory System; Bayesianska nätverk; Strukturinlärning; Villkorliga sannolikhetstabeller; Maximum Likelihood Estimator; XGBoost; och Andningssystemet;

   Sammanfattning : Bayesian networks can be used to model the respiratory system. Their structure indicate how risk factors, symptoms, and diseases are related and the Conditional Probability Tables enable predictions about a patient’s need for hospitalization. LÄS MER

5. 4. Active Learning for Solving Expensive Optimization Problems

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Siwei Fu; [2022]
   Nyckelord :;

   Sammanfattning : Many practical engineering and computer science problems can be translated into a global otimization problem where the task is to find the best (optimal) vector 𝒙𝒙∗ that gives the smallest possible function value 𝑓𝑓 = 𝑓𝑓(𝒙𝒙∗) for some function 𝑓𝑓() of interest. Often the function 𝑓𝑓() is expensive in the sense that it cannot be easily evaluated computationally or experimentally in terms of time and/or resources required. LÄS MER

7. 5. Applying Model Selection on Ligand-Target Binding Kinetic Analysis

   Master-uppsats, KTH/Proteinvetenskap

   Författare :Klara Djurberg; [2021]
   Nyckelord :LigandTracer; kinetic models; Rituximab; Bayesian inference; Bayesian model selection; LigandTracer; interaktionsmodeller; Rituximab; Bayesiansk inferens; modellval;

   Sammanfattning : The time-course of interaction formation or breaking can be studied using LigandTracer, and the data obtained from an experiment can be analyzed using a model of ligand-target binding kinetics. There are different kinetic models, and the choice of model is currently motivated by knowledge about the interaction, which is problematic when the knowledge about the interaction is unsatisfactory. LÄS MER