Sökning: "kernels"
Visar resultat 1 - 5 av 107 avhandlingar innehållade ordet kernels.
1. Polyanalytic Bergman Kernels
Sammanfattning : The thesis consists of three articles concerning reproducing kernels ofweighted spaces of polyanalytic functions on the complex plane. In the first paper, we study spaces of polyanalytic polynomials equipped with a Gaussianweight. In the remaining two papers, more general weight functions are considered. LÄS MER
2. With or without context : Automatic text categorization using semantic kernels
Sammanfattning : In this thesis text categorization is investigated in four dimensions of analysis: theoretically as well as empirically, and as a manual as well as a machine-based process. In the first four chapters we look at the theoretical foundation of subject classification of text documents, with a certain focus on classification as a procedure for organizing documents in libraries. LÄS MER
3. Chemical analysis to promote the use of wild fruits from Mozambique
Sammanfattning : Abstract Wild fruit trees have significant cultural and socio-economic value in rural areas of Mozambique. Most of the wild fruits are seasonal and are available mainly in the wet season. Generally they have a short shelf-life and are eaten fresh or after minimal processing; the most common method of preservation is sun-drying. LÄS MER
4. Weighted Bergman kernels and biharmonic Green functions
Sammanfattning : The main theme of this thesis is the connection between weighted biharmonic Green functions and weighted Bergman kernels. In the first paper, which is a joint work with H. Hedenmalm and S. Shimorin, we prove that weighted biharmonic Green functions are positive for weights which satisfy a mean-value condition and whose logarithms are subharmonic. LÄS MER
5. Global geometric graph kernels and applications
Sammanfattning : This thesis explores the topics of graph kernels and classification of graphs. Graph kernels have received considerable attention in the last decade, in part because of their value in many practical applications, such as chemo informatics and molecular biology, in which classification using graph kernels have become the standard model for several problems. LÄS MER