Essays about: "Match prediction"

Showing result 1 - 5 of 36 essays containing the words Match prediction.

1. 1. Forecasting Football Corner Odds: Statistical Modelling, Betting Strategies and Assessing Market Efficiency

   University essay from Lunds universitet/Matematisk statistik

   Author : Gustav Pålsson; Marcus Laurens; [2023]
   Keywords : Mathematics and Statistics;

   Abstract : Statistical modelling could be included in a betting strategy where the value of a bet is assessed by comparing model predictions and market odds. This thesis presents several models based on statistical learning methods for predicting the total number of corners in a football match. READ MORE

3. 2. Conform with the Wind : Processing short-term ensemble forecasts with conformal based methods for probabilistic wind-speed forecasting

   University essay from Lunds universitet/Matematisk statistik

   Author : Simon Althoff; [2023]
   Keywords : wind-speed; probabilistic; forecasts; forecasting; ensemble; post-processing; conformal prediction; conformal predictive systems; quantile regression forest; non-exchangeable; Mathematics and Statistics;

   Abstract : Forecasting wind has always been an interesting subject, and as large parts of the world are relying more on wind for power production it is becoming even more important to have reliable forecasts. Probabilistic forecasts, where distributions are predicted in contrast to deterministic forecasts, are impor- tant for informed decision making. READ MORE

4. 3. Beating the odds : Machine Learning for football match prediction

   University essay from Jönköping University/Tekniska Högskolan

   Author : Emil Christoffersson; [2023]
   Keywords : Machine Learning; feature selection; prediction; sports betting; football;

   Abstract : This study aimed to compare the accuracy of machine learning models with the probabilities generatedby sports betting companies in predicting the outcome of football matches. The study also investigatedthe impact of different feature combinations on the performance of machine learning models for predicting football match outcomes. READ MORE

5. 4. Computer-vision as an ErrorRecognition Tool for IndustryProduction Lines : A comparative study of models and neural networks

   University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

   Author : André Lundholm; [2023]
   Keywords : Computer-vision; Machine Learning; Wood Industry; Neural Network; Convolutional Neural Network; Anomaly Detection; Outlier Detection; Object Detection;

   Abstract : To use machine learning as a tool to help humans perform tasks is a common occurrence these days. Machine learning integration in the wood processing industry however, is more rare. Therefore it is suitable to research if machine learning works for some problem in this area. READ MORE

6. 5. Personalized Federated Learning for mmWave Beam Prediction Using Non-IID Sub-6 GHz Channels

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

   Author : Yuan Cheng; [2022]
   Keywords : Personalized Federated Learning; Millimeter wave; Beamforming; DeepMIMO; Non-IID; Personaliserad Federad Inlärning; Millimetervågor; Strålformning; DeepMIMO; Icke-IID;

   Abstract : While it is difficult for base stations to estimate the millimeter wave (mmWave) channels and find the optimal mmWave beam for user equipments (UEs) quickly, the sub-6 GHz channels which are usually easier to obtain and more robust to blockages could be used to reduce the time before initial access and enhance the reliability of mmWave communication. Considering that the channel information is collected by a massive number of radio base stations and would be sensitive to privacy and security, Federated Learning (FL) is a match for this use case. READ MORE