Sökning: "matrix data"

Visar resultat 6 - 10 av 748 avhandlingar innehållade orden matrix data.

  1. 6. Offline and Online Models for Learning Pairwise Relations in Data

    Författare :Fazeleh Sadat Hoseini; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Mulit-Armed Bandit; Pairwise Relations; Performance Modeling; Motion Trajectory Clustering; Minimax Distance; Bottleneck Identification; Online Learning; Representation Learning; Memory Efficiency; Concurrent Programming; Thompson Sampling;

    Sammanfattning : Pairwise relations between data points are essential for numerous machine learning algorithms. Many representation learning methods consider pairwise relations to identify the latent features and patterns in the data. This thesis, investigates learning of pairwise relations from two different perspectives: offline learning and online learning. LÄS MER

  3. 7. Tools for Structured Matrix Computations : Stratifications and Coupled Sylvester Equations

    Författare :Andrii Dmytryshyn; Bo Kågström; Volker Mehrmann; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Developing theory, algorithms, and software tools for analyzing matrix pencils whose matrices have various structures are contemporary research problems. Such matrices are often coming from discretizations of systems of differential-algebraic equations. LÄS MER

  4. 8. Deciphering sequence data : A multivariate approach

    Författare :Maria Sandberg Hiltunen; Michael Sjöström; Svante Wold; Lars Ståhle; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Principal properties; amino acids; nucleotides; tRNA; DNA; multivariate data analysis; sequence analysis; QSAR; quantitative sequence activity relationships;

    Sammanfattning : In this thesis, attention has been focused on the quantitative description of nucleic acids, proteins and peptides. The strategy was to use multivariate chemometrical methods for improving the understanding of the complex structural codes of these kinds of biological molecules. LÄS MER

  5. 9. Skew-symmetric matrix pencils : stratification theory and tools

    Författare :Andrii Dmytryshyn; Bo Kågström; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Investigating the properties, explaining, and predicting the behaviour of a physical system described by a system (matrix) pencil often require the understanding of how canonical structure information of the system pencil may change, e.g., how eigenvalues coalesce or split apart, due to perturbations in the matrix pencil elements. LÄS MER

  7. 10. Inference of Effective Pairwise Relations for Data Processing

    Författare :Fazeleh Sadat Hoseini; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Motion trajectory clustering; Concurrent programming; Representation Learning; Pairwise Relations; Memory Efficiency; Minimax Distance; Performance Modeling;

    Sammanfattning : In various data science and artificial intelligence areas, representation learning is a performance-critical step. While different representation learning methods can detect different descriptive and latent features, many representation learning methods reflect on pairwise relations. LÄS MER