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Visar resultat 1 - 5 av 19 avhandlingar som matchar ovanstående sökkriterier.

1. 1. Models of Surface Roughness with Applications in Paper Industry

   Författare :Jan-Olof Johansson; Matematisk statistik; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Statistik; actuarial mathematics; operations research; programming; Matematik; Statistics; Mathematics; estimation.; Surface roughness; parametric models; operationsanalys; programmering; aktuariematematik; Wood; pulp and paper technology; Pappers- och massateknik;

   Sammanfattning : This thesis comprises general parametric models for surface roughness. The models can be used in several technical and natural applications but are here only applied to the micro-structure of paper. In that application, earlier models are generalized and new models introduced. LÄS MER

3. 2. Structure-Exploiting Numerical Algorithms for Optimal Control

   Författare :Isak Nielsen; Daniel Axehill; Anders Hansson; Eric Kerrigan; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Numerical Optimal Control; Model Predictive Control; Riccati Recursion; Parallel Algorithms; Low-Rank Modifications; Parametric Programming; Optimization; Explicit MPC; Moving Horizon Estimation; Partial Condensing;

   Sammanfattning : Numerical algorithms for efficiently solving optimal control problems are important for commonly used advanced control strategies, such as model predictive control (MPC), but can also be useful for advanced estimation techniques, such as moving horizon estimation (MHE). In MPC, the control input is computed by solving a constrained finite-time optimal control (CFTOC) problem on-line, and in MHE the estimated states are obtained by solving an optimization problem that often can be formulated as a CFTOC problem. LÄS MER

4. 3. Road profile statistics relevant for vehicle fatigue

   Författare :Klas Bogsjö; Matematisk statistik; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; operations research; Statistics; Matematik; Mathematics; model evaluation; vehicle fatigue; stochastic processes; road roughness; Road profiles; programming; actuarial mathematics; Statistik; operationsanalys; programmering; aktuariematematik;

   Sammanfattning : Road profiles are studied from a vehicle fatigue point of view. A wide range of roads have been measured: from smooth motorways to very rough gravel roads. It is observed that the road profiles consist of irregular sections, which makes the stationary Gaussian model unsuitable (Paper A). LÄS MER

5. 4. Pointwise and Genomewide Significance Calculations in Gene Mapping through Nonparametric Linkage Analysis: Theory, Algorithms and Applications

   Författare :Lars Ängquist; Matematisk statistik; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; programming; actuarial mathematics; Statistik; cytogenetics; Genetik; cytogenetik; Mathematics; Matematik; Statistics; operations research; Genetics; ROC curves; conditioning loci; optimal score functions; noncentrality parameter; cost adjusted relative efficiency; exponential tilting; importance sampling; Monte Carlo simulation; normal approximation; crossover rate; process maximum; analytical approximation; significance calculations; NPL score; conditional linkage analysis; two-locus linkage analysis; Allele sharing; aktuariematematik; operationsanalys; programmering; gene-gene interaction; composite hypotheses; genetic disease models; classes of score functions; nonparametric linkage analysis;

   Sammanfattning : In linkage analysis or, in a wider sense, gene mapping one searches for disease loci along a genome. This is done by observing so called marker genotypes (alleles) and phenotypes (affecteds/unaffecteds) of a pedigree set, i.e. LÄS MER

7. 5. Offline and Online Models for Learning Pairwise Relations in Data

   Författare :Fazeleh Sadat Hoseini; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Mulit-Armed Bandit; Pairwise Relations; Performance Modeling; Motion Trajectory Clustering; Minimax Distance; Bottleneck Identification; Online Learning; Representation Learning; Memory Efficiency; Concurrent Programming; Thompson Sampling;

   Sammanfattning : Pairwise relations between data points are essential for numerous machine learning algorithms. Many representation learning methods consider pairwise relations to identify the latent features and patterns in the data. This thesis, investigates learning of pairwise relations from two different perspectives: offline learning and online learning. LÄS MER