Essays about: "Ensemble learning"

Showing result 16 - 20 of 175 essays containing the words Ensemble learning.

1. 16. Evaluating machine learning models for time series forecasting in smart buildings

   University essay from KTH/Hälsoinformatik och logistik

   Author : Sarugan Balachandran; Diego Perez Legrand; [2023]
   Keywords : Machine learning; supervised learning; time series forecasting; neural networks; LSTM; En- semble LSTM; AT-LSTM; ARIMA; XGBoost; Maskininlärning; övervakad inlärning; tidsserie-prognostisering; neurala nätverk; LSTM; En- semble LSTM; AT-LSTM; ARIMA; XGBoost;

   Abstract : Temperature regulation in buildings can be tricky and expensive. A common problem when heating buildings is that an unnecessary amount of energy is supplied. This waste of energy is often caused by a faulty regulation system. READ MORE

3. 17. Dataset Drift in Radar Warning Receivers : Out-of-Distribution Detection for Radar Emitter Classification using an RNN-based Deep Ensemble

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Kevin Coleman; [2023]
   Keywords : Radar Emitter Classification; Pulse Descriptor Word; Out of Distribution Detection; Dataset Drift; Uncertainty Estimation; Deep Ensembles; Recurrent Neural Networks; LSTM;

   Abstract : Changes to the signal environment of a radar warning receiver (RWR) over time through dataset drift can negatively affect a machine learning (ML) model, deployed for radar emitter classification (REC). The training data comes from a simulator at Saab AB, in the form of pulsed radar in a time-series. READ MORE

4. 18. 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

5. 19. Exploring the Importance of Women's Educational Attainment in HIV Risk Prediction : A Comparative Study of Logistic Regression, Random Forest and XGBoost

   University essay from Uppsala universitet/Statistiska institutionen

   Author : Towe Wallkulle; [2023]
   Keywords : ;

   Abstract : Due to extensive HIV testing and treatment programs, the rate of new HIV infections has declined in recent years. However, young women South of the Sahara continue to be disproportionately burdened by the epidemic. The aim of this thesis is to explore the complex association between women's educational attainment and HIV prevalence. READ MORE

6. 20. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps

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

   Author : Victor Sanchez; [2023]
   Keywords : Deep Reinforcement Learning; Environment-aware navigation; Robotics; Artificial Intelligence; Apprentissage par renforcement profond; Navigation consciente de l’humain; Intelligence Artificielle; Robotique; Djup Förstärkande Inlärning; Människomedveten navigering; Robotik; Artificiell Intelligens;

   Abstract : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. READ MORE