Essays about: "Gradient tree boosting"

Showing result 1 - 5 of 24 essays containing the words Gradient tree boosting.

  1. 1. A Gradient Boosting Tree Approach for Behavioural Credit Scoring

    University essay from KTH/Matematisk statistik

    Author : Axel Dernsjö; Ebba Blom; [2023]
    Keywords : Machine learning; Random forest; Uncertainty measure; Material development; Empirical Bayes; Maskininlärning; Random forest; Osäkerhetsmått; Materialutveckling; Empirical Bayes;

    Abstract : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. READ MORE

  2. 2. A Comparative Analysis of Decision Tree Models in Identifying Landslide Susceptibility and Type Classification

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Levi Jan Zuiverloon; [2023]
    Keywords : Landslides; landslide susceptibility mapping; Random Forest; Extreme Gradient Boosting; machine learning models; multiclass classification; binary classification; risk assessment; mitigation strategies; Italy; Aosta Valley; infrastructure vulnerability; supervised learning algorithms; Earth and Environmental Sciences;

    Abstract : Landslides pose a significant risk to human life and infrastructure, especially in Italy, which has a high frequency of landslide occurrences. To mitigate these hazards, Landslide Susceptibility Mapping (LSM) is crucial for identifying risk areas and developing appropriate mitigation strategies. READ MORE

  3. 3. Optimizing Load Balancing inRaytracing for Radio Frequency PropagationPredictive models developed for simulation systems

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Wenhao Zhu; [2023]
    Keywords : ;

    Abstract : This thesis presents two predictive models with the aim of pre-allocating memory efficiently in the Ericsson Radio Frequency Propagation Simulation System through the prediction model, so as to achieve the effect of load balancing. The proposed approaches utilize interpolation and the Gradient Boosting Decision Tree (GBDT) method from machine learning for prediction and  apply both methods in multiple test scenarios. READ MORE

  4. 4. Evaluation of Machine Learning Classifiers for Refractory Epilepsy Classification

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

    Author : Ann Abeysekera; Elina Tayebi; [2023]
    Keywords : ;

    Abstract : Epilepsy is a neurological disease, where up to 40% of patients, known as having refractory epilepsy, do not become seizure-free through antiepileptic drugs (AEDs). Epilepsy surgery has the highest possibility of treating patients with refractory epilepsy, however, many are never referred to surgical evaluation. READ MORE

  5. 5. Modeling Melodic Accents in Jazz Solos

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

    Author : Misael Berrios Salas; [2023]
    Keywords : Accents; Jazz Solo; Support Vector Regression SVR ; eXtreme Gradient Boosting XGBoost ; Multiple Linear Regression MLR ; Dynamic; Accenter; Jazz Solos; Support Vector Regression SVR ; eXtreme Gradient Boosting XGBoost ; Multiple Linear Regression MLR ; Dynamisk;

    Abstract : This thesis looks at how accurately one can model accents in jazz solos, more specifically the sound level. Further understanding the structure of jazz solos can give a way of pedagogically presenting differences within music styles and even between performers. Some studies have tried to model perceived accents in different music styles. READ MORE