Essays about: "bayesian network"
Showing result 6 - 10 of 131 essays containing the words bayesian network.
-
6. A Bayesian Bee Colony Algorithm for Hyperparameter Tuning of Stochastic SNNs : A design, development, and proposal of a stochastic spiking neural network and associated tuner
University essay from Uppsala universitet/Signaler och systemAbstract : With the world experiencing a rapid increase in the number of cloud devices, continuing to ensure high-quality connections requires a reimagining of cloud. One proponent, edge computing, consists of many distributed and close-to-consumer edge servers that are hired by the service providers. READ MORE
-
7. Forecasting CO2 Emissions in Sweden with a Bayesian Neural Network
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Carbon dioxide (CO2) is the main constituent of greenhouse gases whose increasing concentrations creates a multitude of different environmental problems. Developing an effective predictive modell for forecasting CO2 is therefore of great importance for future policymakers. READ MORE
-
8. Latency Prediction in 5G Networks by using Machine Learning
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis presents a report of predicting latency in a 5G network by using deep learning techniques. The training set contained data of network parameters along with the actual latency, collected in a 5G lab environment during four different test scenarios. READ MORE
-
9. Bayesian Networks for Modelling the Respiratory System and Predicting Hospitalizations
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Bayesian networks can be used to model the respiratory system. Their structure indicate how risk factors, symptoms, and diseases are related and the Conditional Probability Tables enable predictions about a patient’s need for hospitalization. READ MORE
-
10. LDPC DropConnect
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning is a popular topic that has become a scientific research tool in many fields. Overfitting is a common challenge in machine learning, where the model fits the training data too well and performs poorly on new data. READ MORE