Essays about: "Binary One Optimization"

Showing result 1 - 5 of 26 essays containing the words Binary One Optimization.

1. 1. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

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

   Author : Jiayi Feng; [2023]
   Keywords : DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

   Abstract : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. READ MORE

3. 2. The Impact of Quantum Computing on the Financial Sector : Exploring the Current Performance and Prospects of Quantum Computing for Financial Applications through Mean-Variance Optimization

   University essay from Linköpings universitet/Produktionsekonomi

   Author : Ante Fahlkvist; Alfred Kheiltash; [2023]
   Keywords : Quantum computing; Finance; Financial applications; Mean-variance optimization; Zero-one quadratic programming; Quantum computing in finance;

   Abstract : Many important tasks in finance often rely on complex and time-consuming computations. The rapid development of quantum technology has raised the question of whether quantum computing can be used to solve these tasks more efficiently than classical computing. READ MORE

4. 3. Comparing Quantum Annealing and Simulated Annealing when Solving the Graph Coloring Problem

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

   Author : Nora Odelius; Isak Reinholdsson; [2023]
   Keywords : Quantum Computing; Quantum Annealing; Simulated Annealing; Graph Coloring Problem; Kvantberäkningar; Quantum Annealing; Simulated Annealing; Graffärgningsproblemet;

   Abstract : Quantum annealing (QA) is an optimization process in quantum computing similar to the probabilistic metaheuristic simulated annealing (SA). The QA process involves encoding an optimization problem into an energy landscape, which it then traverses in search for the point of minimal energy representing the global optimal state. READ MORE

5. 4. Assessing the Streamline Plausibility Through Convex Optimization for Microstructure Informed Tractography(COMMIT) with Deep Learning

   University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Author : Xinyi Wan; [2023]
   Keywords : Tractography; dMRI; Filtering Methods; Deep Learning; Classification;

   Abstract : Tractography is widely used in the brain connectivity study from diffusion magnetic resonance imaging data. However, lack of ground truth and plenty of anatomically implausible streamlines in the tractograms have caused challenges and concerns in the use of tractograms such as brain connectivity study. READ MORE

6. 5. Copula Modelling of High-Dimensional Longitudinal Binary Response Data

   University essay from KTH/Matematik (Avd.)

   Author : Nils Henningsson; [2022]
   Keywords : Copula; latent model; variational inference; Copula; latent modell; variational inference;

   Abstract : This thesis treats the modelling of a high-dimensional data set of longitudinal binary responses. The data consists of default indicators from different nations around the world as well as some explanatory variables such as exposure to underlying assets. READ MORE