Sökning: "Andreas Svensson"
Visar resultat 1 - 5 av 15 avhandlingar innehållade orden Andreas Svensson.
1. Learning probabilistic models of dynamical phenomena using particle filters
Sammanfattning : Dynamical behavior can be seen in many real-life phenomena, typically as a dependence over time. This thesis studies and develops methods and probabilistic models for statistical learning of such dynamical phenomena.A probabilistic model is a mathematical model expressed using probability theory. LÄS MER
2. Machine learning with state-space models, Gaussian processes and Monte Carlo methods
Sammanfattning : Numbers are present everywhere, and when they are collected and recorded we refer to them as data. Machine learning is the science of learning mathematical models from data. Such models, once learned from data, can be used to draw conclusions, understand behavior, predict future evolution, and make decisions. LÄS MER
3. Mesenchymal stromal cells in malignant glioma - Functions and therapeutic potential
Sammanfattning : The most common malignant brain tumor in adults is a glioma called glioblastoma multiforme (GBM). About 300 persons are diagnosed with GBM every year in Sweden. Unfortunately, it is also the most aggressive brain tumor and as of today, it is not possible to cure it. LÄS MER
4. Female coloration, egg carotenoids and reproductive success gobies as a model system, PhD Thesis
Sammanfattning : .... LÄS MER
5. Additive Manufacturing using Alloy 718 Powder : Influence of Laser Metal Deposition Process Parameters on Microstructural Characteristics
Sammanfattning : Additive manufacturing (AM) is a general name used for production methodswhich have the capabilities of producing components directly from 3D computeraided design (CAD) data by adding material layer-by-layer until a final component is achieved. Included here are powder bed technologies, laminated object manufacturing and deposition technologies. LÄS MER