Sökning: "matrix data"
Visar resultat 1 - 5 av 588 avhandlingar innehållade orden matrix data.
1. Capturing and Analysing Emotions to Support Organisational Learning The Affect Based Learning MatrixDetta är en avhandling från Kista : Institutionen för data- och systemvetenskap (tills m KTH)
Sammanfattning : This thesis deals with the importance of managing employees’ thoughts and feelings in relation to organisational learning. To visualise and to identify affections within organisations is of major importance since most of our actions and the decisions we make are steered by our emotions rather than rational thinking. LÄS MER
- Detta är en avhandling från Department of Computer Science, Lund University
Sammanfattning : The design of efficient data structures is of primary importance in creation of theoretical algorithms as well their more tangible descendants, computer programs. In this dissertation we study computational aspects of data structures and their respective algorithms from a theoretical viewpoint, which are however of direct importance in the implementation of solutions for real-world problems. LÄS MER
- Detta är en avhandling från Umeå : Datavetenskap
Sammanfattning : This dissertation addresses the development and use of novel software tools and environments for the computation and visualization of canonical information as well as stratification hierarchies for matrices and matrix pencils. The simplest standard shape to which a matrix pencil with a given set of eigenvalues can be reduced is called the Kronecker canonical form (KCF). LÄS MER
- Detta är en avhandling från Stockholm : KTH Royal Institute of Technology
Sammanfattning : This doctoral thesis is the result of a research effort performed in two fields of speech technology, i.e., speech recognition and mispronunciation detection. Although the two areas are clearly distinguishable, the proposed approaches share a common hypothesis based on psychoacoustic processing of speech signals. LÄS MER
- Detta är en avhandling från Göteborg : Chalmers University of Technology
Sammanfattning : Although modern radiation therapy techniques have the ability to conform the dose distribution of ionizing radiation tightly around the volume to be treated, unwanted irradiation to surrounding organs remains a problem. The probability of a side effect arising in the normal tissue of a patient after radiation therapy can be modelled by sigmoid mathematical functions known as normal tissue complication probability (NTCP) models. LÄS MER