Essays about: "bayesian network"

Showing result 11 - 15 of 131 essays containing the words bayesian network.

  1. 11. Auto-Tuning Apache Spark Parameters for Processing Large Datasets

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

    Author : Shidi Zhou; [2023]
    Keywords : Apache Spark; Cloud Environment; Spark Configuration Parameter; Resource Utilization; Ridge Regression; Elastic Net; Random Forest; Deep Neural Network; Bayesian Optimization; Particle Swarm Optimization.; Apache Spark; Molnmiljö; Apache Spark konfigurationsparameter; Resursutnyttjande; Ridge-regression; Elastisk nät; Slumpskog; Djupt neuralt nätverk; Bayesiansk optimering; Partikelsvärmsoptimering.;

    Abstract : Apache Spark is a popular open-source distributed processing framework that enables efficient processing of large amounts of data. Apache Spark has a large number of configuration parameters that are strongly related to performance. Selecting an optimal configuration for Apache Spark application deployed in a cloud environment is a complex task. READ MORE

  3. 12. Maximizing the performance of point cloud 4D panoptic segmentation using AutoML technique

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

    Author : Teng Ma; [2022]
    Keywords : LiDAR perception; 4D panoptic segmentation; Hyperparameter Optimization; Deep learning; Automated Machine Learning; LiDAR-uppfattning; 4D-panoptisk segmentering; hyperparameteroptimering; djupinlärning; automatiserad maskininlärning;

    Abstract : Environment perception is crucial to autonomous driving. Panoptic segmentation and objects tracking are two challenging tasks, and the combination of both, namely 4D panoptic segmentation draws researchers’ attention recently. READ MORE

  4. 13. Bayesian Neural Networks for Forecasting Restaurant Table Bookings

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Jonas Nygren; [2022]
    Keywords : ;

    Abstract :  In the restaurant business, the amount of bookings and guests on a given day will vary greatly depending on multiple factors, both internal and external. Examples of internal factors may be events held at the restaurant such as parties, quiz nights or special offers. READ MORE

  5. 14. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition

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

    Author : Serghei Socolovschi; [2022]
    Keywords : Human Activity Recognition; Deep Learning; Time Series; Uncertainty Estimation; Outofdistribution Detection; Convolutional Neural Network; Human Activity Recognition; Deep Learning; Tidsserie; Uppskattning av Osäkerheten; Outofdistribution Detection; Convolutional Neural Network;

    Abstract : Human Activity Recognition (HAR) field studies the application of artificial intelligence methods for the identification of activities performed by people. Many applications of HAR in healthcare and sports require the safety-critical performance of the predictive models. READ MORE

  6. 15. Evolutionary Properties of Neural Networks: Exploration of Robustness and Evolvability in the Genotype-Phenotype Map

    University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Author : Daesung Cho; [2022]
    Keywords : robustness; evolvability; genotype-phenotype map; canalization; Bayesian inference; simulation-based inference; information theory; neural networks; pyloric rhythm; Physics and Astronomy;

    Abstract : Evolution is a fundamental and crucial part of life that hinges on two central properties: robustness and evolvability. Robustness is required to maintain essential traits despite mutations while evolvability produces novel traits that might prove beneficial in survival. READ MORE