Sökning: "Large data-sets"

Visar resultat 1 - 5 av 198 avhandlingar innehållade orden Large data-sets.

  1. 1. Construction of Composite Models from Large Data-Sets

    Författare :Anders Skeppstedt; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Composite models; Large data-sets;

    Sammanfattning : Most processes of realistic complexity cannot be described by simple linear relationships. In this thesis we describe a method of how to construct composite models from observed data. It is assumed that the dynamics of the process changes with som 'operating-point vector', which is assumed to be a measurable quantity. LÄS MER

  3. 2. Latent variable based computational methods for applications in life sciences : Analysis and integration of omics data sets

    Författare :Max Bylesjö; Johan Trygg; Tormod Naes; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Chemometrics; orthogonal projections to latent structures; OPLS; O2PLS; K-OPLS; kernel-based; non-linear; regression; classification; Populus; Chemistry; Kemi;

    Sammanfattning : With the increasing availability of high-throughput systems for parallel monitoring of multiple variables, e.g. levels of large numbers of transcripts in functional genomics experiments, massive amounts of data are being collected even from single experiments. LÄS MER

  4. 3. Efficient Methods for Direct Volume Rendering of Large Data Sets

    Författare :Patric Ljung; Anders Ynnerman; Thomas Ertl; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Graphics; Scientific Visualization; Medical Imaging; Volume Rendering; Raycasting; Transfer Functions; Level-of-detail; Fuzzy Classification; Virtual Autopsies; Computer science; Datavetenskap;

    Sammanfattning : Direct Volume Rendering (DVR) is a technique for creating images directly from a representation of a function defined over a three-dimensional domain. The technique has many application fields, such as scientific visualization and medical imaging. LÄS MER

  5. 4. Bayesian Inference in Large Data Problems

    Författare :Matias Quiroz; Mattias Villani; Bani K. Mallick; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Bayesian inference; Large data sets; Markov chain Monte Carlo; Survey sampling; Pseudo-marginal MCMC; Delayed acceptance MCMC; Statistics; statistik;

    Sammanfattning : In the last decade or so, there has been a dramatic increase in storage facilities and the possibility of processing huge amounts of data. This has made large high-quality data sets widely accessible for practitioners. This technology innovation seriously challenges traditional modeling and inference methodology. LÄS MER

  7. 5. Managing and Exploring Large Data Sets Generated by Liquid Separation - Mass Spectrometry

    Författare :Daniel Bäckström; Per Sjöberg; Rolf Danielsson; Thomas Moritz; Uppsala universitet; []
    Nyckelord :Analytical chemistry; liquid chromatography; capillary electrophoresis; capillary electrochromatography; mass spectrometry; electro spray ionization; chemometrics; multivariate data analysis; peptide; biomarkers; fingerprints; PCA; alignment; data compression; ANOVA; target correlation; data management; Analytisk kemi;

    Sammanfattning : A trend in natural science and especially in analytical chemistry is the increasing need for analysis of a large number of complex samples with low analyte concentrations. Biological samples (urine, blood, plasma, cerebral spinal fluid, tissue etc. LÄS MER