Sökning: "computer and systems science Statistics"
Visar resultat 1 - 5 av 60 avhandlingar innehållade orden computer and systems science Statistics.
1. Information-Theoretic Generalization Bounds: Tightness and Expressiveness
Sammanfattning : Machine learning has achieved impressive feats in numerous domains, largely driven by the emergence of deep neural networks. Due to the high complexity of these models, classical bounds on the generalization error---that is, the difference between training and test performance---fail to explain this success. LÄS MER
2. Inter-temporal Privacy Metrics
Sammanfattning : Informational privacy of individuals has significantly gained importance after information technology has become widely deployed. Data, once digitalised, can be copied, distributed, and long-term stored at negligible costs. LÄS MER
3. Development and Evaluation of Nonparametric Mixed Effects Models
Sammanfattning : A nonparametric population approach is now accessible to a more comprehensive network of modelers given its recent implementation into the popular NONMEM application, previously limited in scope by standard parametric approaches for the analysis of pharmacokinetic and pharmacodynamic data. The aim of this thesis was to assess the relative merits and downsides of nonparametric models in a nonlinear mixed effects framework in comparison with a set of parametric models developed in NONMEM based on real datasets and when applied to simple experimental settings, and to develop new diagnostic tools adapted to nonparametric models. LÄS MER
4. A Value Perspective on Information System Security : Exploring IS security objectives, problems and value conflicts
Sammanfattning : The inability to understand the social aspects in IS security is pointed out as one of the biggest and most difficult problems in the IS security area. By applying a value perspective on IS security this thesis contributes to increased understanding of social aspects in relation to IS security and peoples’ security behaviours. LÄS MER
5. Dynamic Adaptations of Synchronization Granularity in Concurrent Data Structures
Sammanfattning : The multicore revolution means that programmers have many cores at their disposal in everything from phones to large server systems. Concurrent data structures are needed to make good use of all the cores. Designing a concurrent data structure that performs well across many different scenarios is a difficult task. LÄS MER