Search for dissertations about: "Tony Lindgren"

Showing result 1 - 5 of 6 swedish dissertations containing the words Tony Lindgren.

  2. 1. Methods of solving conflicts among induced rules

    Author : Tony Lindgren; Henrik Boström; Johannes Fürnkranz; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; machine learning; rule conflicts; Computer and systems science; Data- och systemvetenskap;

    Abstract : When applying an unordered set of classification rules to classify an example, there may be several applicable rules with conflicting conclusions regarding the most probable class to which the example belongs. This problem of having rules assigning different classes to the same example must be addressed, if a classification is to be made. READ MORE

  4. 2. Towards a Capability Model for Release Planning of Software Intensive Systems

    Author : Markus Lindgren; Christer Norström; Anders Wall; Rikard Land; Tony Gorschek; Mälardalens högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; software architecture; Computer science; Datavetenskap; Datavetenskap;

    Abstract : Release planning is an early product development activity concerned with deciding which features and quality improvements that should be pursued in product development projects, i.e., it is an activity which in large parts decide how the development budget of a company is allocated. READ MORE

  5. 3. 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

  6. 4. 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

  7. 5. 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