Essays about: "Hyperparameter Optimization"

Showing result 16 - 20 of 49 essays containing the words Hyperparameter Optimization.

  1. 16. Avoiding local minima with Genetic programming of Behavior Trees

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

    Author : Zhanpeng Xie; [2022]
    Keywords : Genetic Programming; Behavior Trees; Optimization; Autonomous Agents; Simulation; Genetiskprogrammering; beteendeträd; optimering; autonomaagenter; simulering;

    Abstract : Behavior Trees (BTs) are a reactive policy representation that has gained popularity in recent years, especially in the robotics domain. Among the learning methods for BTs, Genetic Programming (GP) is an effective method for learning a good BT. One drawback of GP is that it is likely to get stuck in local minima. READ MORE

  3. 17. Sequential Deep Learning Models for Neonatal Sepsis Detection : A suitability assessment of deep learning models for event detection in physiological data

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

    Author : Henrik Alex Siren; [2022]
    Keywords : Neonatal sepsis; Deep learning; Recurrent models; Convolutional models; Physiological data; Neonatal sepsis; Djupinlärning; RNN-modeller; CNN-modeller; Fysiologisk data;

    Abstract : Sepsis is a life-threatening condition that neonatal patients are especially susceptible to. Fortunately, improved bedside monitoring has enabled the collection and use of continuous vital signs data for the purpose of detecting conditions such as sepsis. READ MORE

  4. 18. Text Classification of Human Resources-related Data with Machine Learning

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

    Author : Christine Rosquist; [2021]
    Keywords : ;

    Abstract : Text classification has been an important application and research subject since the origin of digital documents. Today, as more and more data are stored in the form of electronic documents, the text classification approach is even more vital. READ MORE

  5. 19. ESTIMATING AND EVALUATING THE PROBABILITY OF DEFAULT – A MACHINE LEARNING APPROACH

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Andreas Hild; [2021]
    Keywords : ;

    Abstract : In this thesis, we analyse and evaluate classification models for panel credit risk data. Variables are selected based on results from recursive feature elimination as well as economic reasoning where the probability of default is estimated. READ MORE

  6. 20. Prediction of quote acceptance in a B2B environment using Random Forests and Gradient Boosting Machines

    University essay from Lunds universitet/Matematisk statistik

    Author : Jesper Gunnarsson; Jacob Tyrberg; [2021]
    Keywords : B2B; pricing; Random Forest; Gradient Boosting; calibration; feature engineering; Mathematics and Statistics;

    Abstract : For a business to be as successful as possible it needs a sound pricing strategy. A B2B environment allows the business more freedom to tailor each quote to maximize the performance.In order to do this, proper understanding of how probable a quote is to succeed is crucial. READ MORE