Sökning: "bagging"

Visar resultat 1 - 5 av 11 uppsatser innehållade ordet bagging.

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

    Master-uppsats, Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

    Författare :Yasser Alsouda; [2019]
    Nyckelord :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 ;

    Sammanfattning : 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. LÄS MER

  2. 2. Machine learning algorithms in a distributed context

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Institutionen för datavetenskap

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

    Sammanfattning : 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. LÄS MER

  3. 3. Deep learning models as advisors to execute trades on financial markets

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Corentin Abgrall; [2018]
    Nyckelord :;

    Sammanfattning : Recent work has shown that convolutional networks can successfully handle time series as input in various different problems. This thesis embraces this observation and introduces a new method combining machine learning techniques in order to create profitable trading strategies. LÄS MER

  4. 4. Unexpected Item in the Bagging Area : An Examination of Joint Recovery and Customer Satisfaction in Retail Self-Service

    Kandidat-uppsats, Linköpings universitet/FöretagsekonomiLinköpings universitet/Filosofiska fakulteten; Linköpings universitet/FöretagsekonomiLinköpings universitet/Filosofiska fakulteten

    Författare :Maria Alvarez Zea; Marissa Metro; [2018]
    Nyckelord :Self-Service Technologies; Service Failure; Service Recovery; Retail; Customer Loyalty; Joint Recovery; Co-Creation; Customer Satisfaction;

    Sammanfattning : With the growth of self-service technologies in retail stores and services, service failure of the technology is seemingly inevitable. This has lead to the question of how these failures influence customers, specifically their satisfaction and loyalty. LÄS MER

  5. 5. Knowledge Discovery and Data Mining Using Demographic and Clinical Data to Diagnose Heart Disease.

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Javier Fernandez Sanchez; [2018]
    Nyckelord :machine learning; data science; artificial intelligence; data mining; cardiovascular disease; CVD; exploratory analysis; EDA; clinical data; support vector machines; preprocessing; decision trees; logistic regression; KNN; adaboost; xgboost; random forest; health; healthcare;

    Sammanfattning : Cardiovascular disease (CVD) is the leading cause of morbidity, mortality, premature death and reduced quality of life for the citizens of the EU. It has been reported that CVD represents a major economic load on health care sys- tems in terms of hospitalizations, rehabilitation services, physician visits and medication. LÄS MER