Sökning: "resampling"
Visar resultat 1 - 5 av 31 avhandlingar innehållade ordet resampling.
1. Statistical analysis and simulation methods related to load-sharing models
Sammanfattning : We consider the problem of estimating the reliability of bundles constructed of several fibres, given a particular kind of censored data. The bundles consist of several fibres which have their own independent identically dis-tributed failure stresses (i.e.the forces that destroy the fibres). LÄS MER
2. Algorithmic discovery, development and personalized selection of higher-order drug cocktails : A label-free live-cell imaging & secretomics approach
Sammanfattning : An upward trend in clinical pharmacology is the use of multiple drugs to combat complex and co-occurring diseases due to better efficacy, decreased toxicity and reduced risk of evolving resistance. Despite high late-stage attrition rates and the need for multi drug treatments, most drug discovery and development efforts are still mainly focused on new one-size-fits-all monotherapies. LÄS MER
3. Electromagnetic Field Induced Out-of-Equilibrium Structural Dynamics in Protein Crystals: From Picoseconds to Milliseconds
Sammanfattning : Light-induced interactions in biomolecules are strongly varying over different model systems. Most amino acids and proteins absorb ultraviolet light, but only a few with specialised chromophores or fluorophores, are able to absorb light in the visible spectrum. LÄS MER
4. Organization of information pathways in complex networks
Sammanfattning : A shuman beings, we are continuously struggling to comprehend the mechanism of dierent natural systems. Many times, we face a complex system where the emergent properties of the system at a global level can not be explained by a simple aggregation of the system's components at the micro-level. LÄS MER
5. Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems : Improving the efficiency of time-constrained optimization
Sammanfattning : In preference-based Evolutionary Multi-objective Optimization (EMO), the decision maker is looking for a diverse, but locally focused non-dominated front in a preferred area of the objective space, as close as possible to the true Pareto-front. Since solutions found outside the area of interest are considered less important or even irrelevant, the optimization can focus its efforts on the preferred area and find the solutions that the decision maker is looking for more quickly, i. LÄS MER