Essays about: "model data"

Showing result 1 - 5 of 12860 essays containing the words model data.

1. 1. LEARNING AND COLLABORATION VIA DIGITAL COMMUNICATION TECHNOLOGIES IN ECOVILLAGES A Study on Learning in Ecovillage Communities of Practice and Affordances of Virtual Immersive Learning Environments

   University essay from Institutionen för tillämpad informationsteknologi

   Author : Eralp Erol; [2024-03-19]
   Keywords : ecovillages; learning; affordances; communities of practice; situated learning; immersive technologies; remote collaboration;

   Abstract : Ecovillages are intentional residential communities aimed at improving human quality of life while protecting and regenerating the surrounding nature in order to create a more sustainable lifestyle based on cooperative culture and sharing (Dawson, 2006; GEN, n.d.b; Mychajluk, 2017). READ MORE

3. 2. Feature Selection for Microarray Data via Stochastic Approximation

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

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

   Abstract : 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. READ MORE

4. 3. Reconstructing point patterns from spatially aggregated data

   University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

   Author : Jens Michelsen; [2024-03-13]
   Keywords : lorem; ipsum; dolor; sit; amet; consectetur; adipisicing; elit; sed; do.;

   Abstract : In this thesis we explore the ability to reconstruct samples (point configurations) from a point process, based only on the information contained in spatially aggregated data, namely the number of points in the partitions of a larger region. The ability to reconstruct a point configuration, in such a way that it retains most of it’s statistical properties, could be useful in cases where one is faced with a mixed dataset; some regions containing the full point configuration data, while other regions only contain aggregated data, i. READ MORE

5. 4. Does industry survey data improve GDP forecasting?

   University essay from Göteborgs universitet/Företagsekonomiska institutionen

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

   Abstract : 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. READ MORE

6. 5. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes

   University essay from Institutionen för tillämpad informationsteknologi

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

   Abstract : 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. READ MORE