Sökning: "matematik testning"

Hittade 5 avhandlingar innehållade orden matematik testning.

  1. 1. On the optimal stopping time of learning

    Författare :Anna Fedyszak-Koszela; Richard Bonner; Dmitrii Silvestrov; Jacek Malec; Mälardalens högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; stopping time; MATHEMATICS; MATEMATIK;

    Sammanfattning :  The goal of this thesis is to study the economics of computational learning. Attention is also paid to applications of computational learning models, especially Valiant's so-called `probably approximately correctly' (PAC) learning model, in econometric situations. LÄS MER

  2. 2. 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

  3. 3. Early Elementary School Interventions in Reading and Mathematics

    Författare :Hanna Lindström-Sandahl; Henrik Danielsson; Stefan Samuelsson; Åsa Elwér; Joakim Samuelsson; Karin Landerl; Linköpings universitet; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Intervention; Special education; Instruction; Reading; Mathematics; Randomized controlled study; Follow-up; Elementary school; Intervention; Specialpedagogik; Undervisning; Läsning; Matematik; Randomiserad kontrollerad studie; Uppföljning; Grundskola;

    Sammanfattning : Supplemental special education support in reading and mathematics is essential for some children who struggle to learn basic reading or mathematics skills in their first years of schooling. Previous research shows that supplemental phonics and early numeracy and arithmetic instruction help students at risk for reading or mathematics difficulties. LÄS MER

  4. 4. Statistical inference and time-frequency estimation for non-stationary signal classification

    Författare :Rachele Anderson; Statistical Signal Processing Group; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Non-stationary processes; stochastic modeling; inference; spectral analysis; time-frequency analysis; classification; biomedical applications; deep learning;

    Sammanfattning : This thesis focuses on statistical methods for non-stationary signals. The methods considered or developed address problems of stochastic modeling, inference, spectral analysis, time-frequency analysis, and deep learning for classification. LÄS MER

  5. 5. On Medical Image Segmentation With Noisy Labels

    Författare :Marcus Nordström; Henrik Hult; Atsuto Maki; Fredrik Kahl; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Medical image segmentation; image segmentation; machine learning; supervised learning; label noise; Sörensen-Dice coefficient; soft-Dice; Medicinsk bildsegmentering; bildsegmentering; maskininlärning; övervakat lärande; annoteringsbrus; Sörensen-Dice koefficienten; soft-Dice; Tillämpad matematik och beräkningsmatematik; Applied and Computational Mathematics; Mathematical Statistics; Matematisk statistik;

    Sammanfattning : It is well known that data sets used for training and testing automatic medical image segmentation methods often contain a lot of label noise. Such noise affects the performance of the methods and has been subject to a lot of research. LÄS MER