Search for dissertations about: "Histogram data"

Showing result 1 - 5 of 33 swedish dissertations containing the words Histogram data.

  2. 1. Random Forest for Histogram Data : An application in data-driven prognostic models for heavy-duty trucks

    Author : Ram Bahadur Gurung; Henrik Boström; Tony Lindgren; Niklas Lavesson; Stockholms universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Histogram data; random forest; NOx sensor failure; random forest interpretation; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : Data mining and machine learning algorithms are trained on large datasets to find useful hidden patterns. These patterns can help to gain new insights and make accurate predictions. Usually, the training data is structured in a tabular format, where the rows represent the training instances and the columns represent the features of these instances. READ MORE

  4. 2. Learning Decision Trees and Random Forests from Histogram Data : An application to component failure prediction for heavy duty trucks

    Author : Ram Bahadur Gurung; Henrik Boström; Tony Lindgren; Stockholms universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; histogram decision trees; histogram random forest; prognostics; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : A large volume of data has become commonplace in many domains these days. Machine learning algorithms can be trained to look for any useful hidden patterns in such data. Sometimes, these big data might need to be summarized to make them into a manageable size, for example by using histograms, for various reasons. READ MORE

  5. 3. Z-Series : Mining and learning from complex sequential data

    Author : Zed Lee; Panagiotis Papapetrou; Tony Lindgren; Toon Calders; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; data- och systemvetenskap; Computer and Systems Sciences;

    Abstract : The amount and complexity of sequential data collected across various domains have grown rapidly, posing significant challenges for extracting useful knowledge from such data sources. The complexity arises from diverse sequence representations with varying granularities, such as multivariate time series, histogram snapshots, and heterogeneous health records, which often describe a single data instance with multiple sequences. READ MORE

  6. 4. Approaching well-founded comprehensive nuclear data uncertainties : Fitting imperfect models to imperfect data

    Author : Petter Helgesson; Henrik Sjöstrand; Helmut Leeb; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Evaluated nuclear data; uncertainty propagation; uncertainty quantification; model defects; Gaussian processes; TALYS; TENDL; covariances.; Fysik med inriktning mot tillämpad kärnfysik; Physics with specialization in Applied Nuclear Physics;

    Abstract : Nuclear physics has a wide range of applications; e.g., low-carbon energy production, medical treatments, and non-proliferation of nuclear weapons. Nuclear data (ND) constitute necessary input to computations needed within all these applications. READ MORE

  7. 5. Image analysis and interactive visualization techniques for electron microscopy tomograms

    Author : Lennart Svensson; Sveriges lantbruksuniversitet; Sveriges lantbruksuniversitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Images are an important data source in modern science and engineering. A continued challenge is to perform measurements on and extract useful information from the image data, i.e., to perform image analysis. READ MORE