Sökning: "bootstrap aggregating"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden bootstrap aggregating.

  1. 1. Decision Trees for Classification of Repeated Measurements

    Kandidat-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

    Författare :Julianna Holmberg; [2024]
    Nyckelord :Repeated Measurement Data; Growth Curve Model; Linear Discriminant Analysis; Decision Tree; Bootstrap Aggregating; CART; CART-LC;

    Sammanfattning : Classification of data from repeated measurements is useful in various disciplines, for example that of medicine. This thesis explores how classification trees (CART) can be used for classifying repeated measures data. LÄS MER

  3. 2. Tether-free Driveline Control for Water Propulsion Devices

    Master-uppsats, Lunds universitet/Ergonomi och aerosolteknologi; Lunds universitet/Certec - Rehabiliteringsteknik och Design

    Författare :Isak Marklund; Axel Müller; [2023]
    Nyckelord :Dead man’s switch; electric surfboard; jet surfboard; machine learning; user experience; usability testing; neural network; decision tree; bootstrap aggregating; time series; Technology and Engineering;

    Sammanfattning : For many machines, safety requires the constant presence of an operator, with the risk of damage or danger if the operator is unintentionally absent. Dead man’s switches (DMS) are commonly used to halt operations if this absence is detected, often relying on physical elements like leashes or buttons. LÄS MER

  4. 3. Evaluation of Machine Learning classifiers for Breast Cancer Classification

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

    Författare :Robin Dang; Anders Nilsson; [2020]
    Nyckelord :;

    Sammanfattning : Breast cancer is a common and fatal disease among women globally, where early detection is vital to improve the prognosis of patients. In today’s digital society, computers and complex algorithms can evaluate and diagnose diseases more efficiently and with greater certainty than experienced doctors. LÄS MER

  5. 4. 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

  7. 5. Song Similarity Classication

    Kandidat-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Richard Nysater; Tobias Reinhammar; [2013]
    Nyckelord :;

    Sammanfattning : The purpose of this study was to investigate the possibility of automatically classifying the similarity of song pairs. The machine learning algorithm K-Nearest Neighbours , combined with both bootstrap aggregating and an attribute selection classier, was rst trained by combining the acoustic features of 45 song pairs extracted from the Million Song Dataset with usersubmitted similarity for each pair. LÄS MER