Sökning: "Bayesian optimal design"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Bayesian optimal design.

1. 1. 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

3. 2. Gain Estimation using Multi-Armed Bandit Policies

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

   Författare :Chia-Hsuan Chou; [2021]
   Nyckelord :;

   Sammanfattning : This thesis investigates a new method to estimate the system norm using reinforcement learning. Given an unknown system, we aim to estimate its H∞- norm with a model-free approach, which involves solving a sequential input design problem. LÄS MER

4. 3. Machine Learning Approach to the Design of Autonomous Construction Equipment applying Data-Driven Decision Support Tool

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknik

   Författare :Aniruddh Goteti; [2019]
   Nyckelord :Machine Learning; Regression; Time Series; Construction Equipment;

   Sammanfattning : Design engineers working in construction machinery industry face a lot of complexities and uncertainties while taking important decisions during the design of construction equipment. These complexities can be reduced by the implementation of a data-driven decision support tool, which can predict the behaviour of the machine in operational complexity and give some valuable insights to the design engineer. LÄS MER

5. 4. Minimal Exploration in Episodic Reinforcement Learning

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

   Författare :Ardhendu Shekhar Tripathi; [2018]
   Nyckelord :Reinforcemebt Learning; Exploitation; Exploration; Regret; Optimism in Face of Uncertainty; Bayesian;

   Sammanfattning : Exploration-exploitation trade-off is a fundamental dilemma that reinforcement learning algorithms face. This dilemma is also central to the design of various state of the art bandit algorithms. We take inspiration from these algorithms and try to design reinforcement learning algorithms in an episodic setting. LÄS MER

7. 5. Design of Optimal Energy Flow Control with Privacy-Cost Trade-Off in Smart Grids

   Master-uppsats, KTH/Kommunikationsteori

   Författare :Hui Zhu; [2016]
   Nyckelord :;

   Sammanfattning : As a promising field, the development of smart grid has drawn more and more attention from many countries. A smart meter plays a significant role in a smart grid. It replaces the traditional electricity meter with the ability to frequently transmit instantaneous energy consumptions of the consumer to theenergy provider of the smart grid. LÄS MER