Sökning: "Performance model"

Visar resultat 1 - 5 av 6647 uppsatser innehållade orden Performance model.

1. 1. Feature Selection for Microarray Data via Stochastic Approximation

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Erik Rosvall; [2024-03-18]
   Nyckelord :feature selection; feature ranking; microarray data; stochastic approximation; Barzilai and Borwein method; Machine Learning; AI;

   Sammanfattning : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. LÄS MER

3. 2. Does industry survey data improve GDP forecasting?

   Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionen

   Författare :Oscar Andersson; Ludvig Fornstedt; [2024-03-06]
   Nyckelord :Bayesian; BVAR; Forecasting; GDP; survey data;

   Sammanfattning : This study assesses the integration of industry survey data into Bayesian Vector Auto Regressive (BVAR) models for GDP forecasting in Sweden. Analyzing a combination of macro economic indicators, CPI and unemployment rates, with survey data from NIER, it explores the effects of different variable combinations on the forecasting ability of different models. LÄS MER

4. 3. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes

   Master-uppsats, Institutionen för tillämpad informationsteknologi

   Författare :Mathias Forsman; Yihan Yang; [2024-03-05]
   Nyckelord :Automotive Industry; Early Problem Identification; Diagnostic Trouble Code; Case Study; Laboratory Experiment ; Machine Learning; Linear Regression; K-means Clustering;

   Sammanfattning : In the current automotive industry, problem identification is a reactive process. It starts when the customer experiences a vehicle problem and goes to the workshop. Subsequently, all the problem-related data will be collected from the workshop and forwarded to the vehicle manufacturer. LÄS MER

5. 4. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience

   M1-uppsats, KTH/Hälsoinformatik och logistik

   Författare :Habib Jabeli; [2024]
   Nyckelord :Machine Learning; Flight Comparison; Flygresor.se; Neural Networks; Flight Ranking; Random Forest; XGBoost;

   Sammanfattning : Flygresor.se, a leading flight comparison platform, uses machine learning to rankflights based on their likelihood of being clicked. The main goal of this project was toimprove this flight sorting to obtain a better user experience. The platform's existingmodel is based on a neural network approach and a limited set of features. LÄS MER

7. 5. Robust Object Recognition and Tracking with Drones

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Jiaying Wu; [2024]
   Nyckelord :;

   Sammanfattning : The Skara Skyddsängel project explores an innovative method of providing illumination for cyclists along a 20km unlit bike lane using drones. Current GNSS approach performs generally well but further improvements are need for better robustness. Consequently, this thesis project is raised to seek a robust solution in the field of computer vision. LÄS MER