Essays about: "Bagging"

Showing result 21 - 25 of 32 essays containing the word Bagging.

  1. 21. Evaluation of Adaptive random forest algorithm for classification of evolving data stream

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

    Author : Ayham Alkazaz; Marwa Saado Kharouki; [2020]
    Keywords : ;

    Abstract :  In the era of big data, online machine learning algorithms have gained more and more traction from both academia and industry. In multiple scenarios decisions and predictions has to be made in near real-time as data is observed from continuously evolving data streams. READ MORE

  3. 22. An IoT Solution for Urban Noise Identification in Smart Cities : Noise Measurement and Classification

    University essay from Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

    Author : Yasser Alsouda; [2019]
    Keywords : urban noise; sound pressure level SPL ; internet of things IoT ; machine learning; support vector machine SVM ; k-nearest neighbors KNN ; bootstrap aggregating Bagging ; random forest; mel-frequency cepstral coeffi-cients MFCC ;

    Abstract : Noise is defined as any undesired sound. Urban noise and its effect on citizens area significant environmental problem, and the increasing level of noise has become a critical problem in some cities. Fortunately, noise pollution can be mitigated by better planning of urban areas or controlled by administrative regulations. READ MORE

  4. 23. REAL-TIME PREDICTION OF SHIMS DIMENSIONS IN POWER TRANSFER UNITS USING MACHINE LEARNING

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Daniel Jansson; Rasmus Blomstrand; [2019]
    Keywords : MATLAB; Machine Learning; Smart Manufacturing; Classification; Regression; Power Transfer Units; Industry 4.0; Assembly Line; Support Vector Machines; Artificial Neural Network; Partial Least Squares Regression; Decision Tree; Bagging; Bagged Decision Trees; Support Vector Regression Machines; SVR; SVM; ANN; PTU; DT; Bagged DTs;

    Abstract : .... READ MORE

  5. 24. Artificial intelligence to model bedrock depth uncertainty

    University essay from KTH/Jord- och bergmekanik

    Author : Beatriz Machado; [2019]
    Keywords : Machine learning; Artificial intelligence; Kriging; prediction; algorithm.;

    Abstract : The estimation of bedrock level for soil and rock engineering is a challenge associated to many uncertainties. Nowadays, this estimation is performed by geotechnical or geophysics investigations. These methods are expensive techniques, that normally are not fully used because of limited budget. READ MORE

  6. 25. Machine learning algorithms in a distributed context

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Samuel Johansson; Karol Wojtulewicz; [2018]
    Keywords : Machine learning; ensemble algorithms; hard data partitioning; decision trees;

    Abstract : Interest in distributed approaches to machine learning has increased significantly in recent years due to continuously increasing data sizes for training machine learning models. In this thesis we describe three popular machine learning algorithms: decision trees, Naive Bayes and support vector machines (SVM) and present existing ways of distributing them. READ MORE