Essays about: "Probabilistic Machine Learning"

Showing result 6 - 10 of 49 essays containing the words Probabilistic Machine Learning.

1. 6. Generating Synthetic CT Images Using Diffusion Models

   University essay from Umeå universitet/Institutionen för fysik

   Author : Salih Saleh; [2023]
   Keywords : Machine learning; artificial intelligence; generative models; diffusion models; MRI; CT; synthetic CT; radiation therapy;

   Abstract : Magnetic resonance (MR) images together with computed tomography (CT) images are used in many medical practices, such as radiation therapy. To capture those images, patients have to undergo two separate scans: one for the MR image, which involves using strong magnetic fields, and one for the CT image which involves using radiation (x-rays). READ MORE

3. 7. A Comparison of Statistical Methods to Generate Short-Term Probabilistic Forecasts for Wind Power Production Purposes in Iceland

   University essay from Uppsala universitet/Luft-, vatten- och landskapslära

   Author : Arnór Tumi Jóhannsson; [2022]
   Keywords : Wind power; Iceland; Atmospheric Boundary Layer; atmospheric stability; probabilistic forecasting; Machine Learning; Quantile Regression Forest; Vindkraft; Island; gränsskikt; atmosfärisk stabilitet; probabilistisk prognos; Machine Learning; Quantile Regression Forest;

   Abstract : Accurate forecasts of wind speed and power production are of great value for wind power producers. In Southwest Iceland, wind power installations are being planned by various entities. READ MORE

4. 8. Reinforcement Learning for Market Making

   University essay from KTH/Matematisk statistik

   Author : Simon Carlsson; August Regnell; [2022]
   Keywords : Reinforcement learning; Market making; Deep reinforcement learning; Limit order book; Algorithmic trading; High-frequency trading; Machine learning; Artificial intelligence; Q-learning; DDQN; Förstärkningsinlärning; Market making; Djup förstärkningsinlärning; Limitorderbok; Algoritmisk handel; Högfrekvenshandel; Maskininlärning; Artificiell intelligens; Q-learning; DDQN;

   Abstract : Market making – the process of simultaneously and continuously providing buy and sell prices in a financial asset – is rather complicated to optimize. Applying reinforcement learning (RL) to infer optimal market making strategies is a relatively uncharted and novel research area. READ MORE

5. 9. A Study on Data-driven Methods for Selection and Evaluation of Beam Subsets in 5G NR

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Nic Ekman; Ilias Theodoros Skordas; [2022]
   Keywords : 5G; NR; telecom; telecommunications; ML; machine learning; algorithms; beam; widebeam; propagation; beamforming; subset; RAN; radio; radio environment; ericsson; Technology and Engineering;

   Abstract : 5G New Radio is the next generation of mobile networks and it comes with promises of ultra-high speeds, ultra-high reliability and ultra-low latency. This has posed a challenge for the engineers entrusted with the task of finding solutions which could fulfil the specification, and as a result, some promising areas have received increased attention in recent years. READ MORE

6. 10. ML-Aided Cross-Band Channel Prediction in MIMO Systems

   University essay from Linköpings universitet/Statistik och maskininlärning

   Author : Alejo Pérez Gómez; [2022]
   Keywords : MIMO; Deep Learning; Machine Learning; Probabilistic Principal Component Analysis; Variational Autoencoder;

   Abstract : Wireless communications technologies have experienced an exponential development during the last decades. 5G is a prominent exponent whose one of its crucial component is the Massive MIMO technology. READ MORE