Essays about: "Hyperparameter Optimization"

Showing result 1 - 5 of 43 essays containing the words Hyperparameter Optimization.

  1. 1. 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

  3. 2. A GP-Surrogate-Based Bayesian Framework for Surge Barrier Optimization

    University essay from KTH/Matematik (Avd.)

    Author : Abel Valko; [2022]
    Keywords : Bayesian Optimization; Gaussian Process Regression; Storm Surge; GeoClaw; GISSR;

    Abstract : Tropical cyclone induced storm surges are some of the largest environmental risks facing infrastructure and human life in dense urban environments. Hurricane Sandy caused 44 deaths and damage of 19 billion US dollars in New York City alone. READ MORE

  4. 3. Predicting company bankruptcy using artificial neural networks. : Visualization and ranking of key features

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

    Author : Jacob Wirgård WIklund; [2022]
    Keywords : ;

    Abstract : This paper presents a deep learning model that challenges what is known in the financial field of company bankruptcy. Specifically, a Multilayer Perceptron (MLP) model for predicting corporate bankruptcies is constructed and analyzed to visualize which input parameters that are most important for the accuracy of the model. READ MORE

  5. 4. Stock market estimation : Using Linear Regression and Random Forest

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Daniel Kastberg; [2022]
    Keywords : Machine Learning; Random Forest; Linear Regression;

    Abstract : Stock market speculation is captivating to many people. Millions of people worldwide sell and buy stocks in the hope of turning a profit. READ MORE

  6. 5. Credit risk modelling and prediction: Logistic regression versus machine learning boosting algorithms

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Linnéa Machado; David Holmer; [2022]
    Keywords : Machine learning; Credit risk; Logistic regression; Decision trees;

    Abstract : The use of machine learning methods in credit risk modelling has been proven to yield good results in terms of increasing the accuracy of the risk score as- signed to customers. In this thesis, the aim is to examine the performance of the machine learning boosting algorithms XGBoost and CatBoost, with logis- tic regression as a benchmark model, in terms of assessing credit risk. READ MORE