Essays about: "bayesian var model"

Showing result 11 - 15 of 42 essays containing the words bayesian var model.

  1. 11. Belief-aided Robust Control for Remote Electrical Tilt Optimization

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

    Author : Jack Jönsson; [2021]
    Keywords : Mobile Network Optimization; Remote Electrical Tilt; Robust Control; Reinforcement Learning; Partially Observable Markov Decision Process; Belief State Estimation; Bayesian Neural Network; Optimering av Mobilnätverk; Fjärrstyrning av Elektrisk Lutning; Robust Reglering; Delvis Observerbar Markovprocess; Tillståndsestimering; Bayesiskt Neuralt Nätverk;

    Abstract : Remote Electrical Tilt (RET) is a method for configuring antenna downtilt in base stations to optimize mobile network performance. Reinforcement Learning (RL) is an approach to automating the process by letting an agent learn an optimal control strategy and adapt to the dynamic environment. READ MORE

  3. 12. Evaluation of hyperparameter optimization methods for Random Forest classifiers

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

    Author : Rasmus Nygren; Aleks Petkov; [2021]
    Keywords : ;

    Abstract : In order to create a machine learning model, one is often tasked with selecting certain hyperparameters which configure the behavior of the model. The performance of the model can vary greatly depending on how these hyperparameters are selected, thus making it relevant to investigate the effects of hyperparameter optimization on the classification accuracy of a machine learning model. READ MORE

  4. 13. Modelling Immediate Serial Recall using a Bayesian Attractor Neural Network

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

    Author : Julia Ericson; [2021]
    Keywords : Bayesian Confidence Propagating Neural Network; Phonological Loop; Computational model; Immediate serial recall; Bayesian Confidence Propagating Neural Network; Fonologiska loopen; Datorsimulation; Sekventiellt korttidsminne;

    Abstract : In the last decades, computational models have become useful tools for studying biological neural networks. These models are typically constrained by either behavioural data from neuropsychological studies or by biological data from neuroscience. READ MORE

  5. 14. The Impact of Selective Plasticity Modulationon Simulated Long Term Memory

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

    Author : Silvia Barrett; Alicia Palmér; [2021]
    Keywords : BCPNN; Long-term memory; Computational brain modeling; Reminiscence bump; Plasticity modulation;

    Abstract : Understanding the brain and its functions is achallenging undertaking. To facilitate this work, brain-inspiredtechnology may be used to examine cognitive phenomena to acertain extent, by replacing real biological brains with simulations. READ MORE

  6. 15. Optimal Time-Varying Cash Allocation

    University essay from KTH/Matematisk statistik

    Author : David Olanders; [2020]
    Keywords : Statistics; Applied Mathematics; Optimization; Cash Allocation; Network Theory; Mixed Integer Linear Program; Transaction Costs; Branch-and-Cut; Statistik; tillämpad matematik; optimering; kapitalallokering; nätverksteori; Mixed Integer Linear Program; transaktionskostnader; Branch-and-Cut;

    Abstract : A payment is the most fundamental aspect of a trade that involves funds. In recent years, the development of new payment services has accelerated significantly as the world has moved further into the digital era. This transition has led to an increased demand of digital payment solutions that can handle trades across the world. READ MORE