Essays about: "Bayesian estimator"

Showing result 1 - 5 of 15 essays containing the words Bayesian estimator.

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

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Ansar Siddiqui; [2023]
    Keywords : ;

    Abstract : 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. READ MORE

  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

    University essay from Uppsala universitet/Signaler och system

    Author : Oskar Falkeström; [2023]
    Keywords : 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.;

    Abstract : 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. READ MORE

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

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

    Author : Victor Lopo Martinez; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

  5. 4. Active Learning for Solving Expensive Optimization Problems

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Siwei Fu; [2022]
    Keywords : ;

    Abstract : 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. READ MORE

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

    University essay from KTH/Proteinvetenskap

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

    Abstract : 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. READ MORE