Sökning: "probabilistic methods"

Visar resultat 1 - 5 av 245 avhandlingar innehållade orden probabilistic methods.

  1. 1. Probabilistic Modelling of Hearing : Speech Recognition and Optimal Audiometry

    Författare :Svante Stadler; Arne Leijon; Stefan Stenfelt; KTH; []
    Nyckelord :auditory models; probabilistic modelling; speech modelling; human speech recognition; hearing aids; cochlear implants; psychoacoustics; diagnostic methods; optimal experiments; audiometry;

    Sammanfattning : Hearing loss afflicts as many as 10\% of our population.Fortunately, technologies designed to alleviate the effects ofhearing loss are improving rapidly, including cochlear implantsand the increasing computing power of digital hearing aids. Thisthesis focuses on theoretically sound methods for improvinghearing aid technology. LÄS MER

  2. 2. Probalistic Methods In Genomic Data Analysis

    Författare :Thomas Breslin; Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; pathway profiling; Bioinformatics; medical informatics; biomathematics biometrics; Bioinformatik; medicinsk informatik; differential gene expression; probabilistic methods; Natural science; Naturvetenskap; biomatematik; annotation analysis; microarray; Fysicumarkivet A:2004:Breslin;

    Sammanfattning : In this thesis, three aspects of gene expression data analysis are discussed: Differential gene expression is addressed by a probabilistic method. Gene annotation enrichment analysis is discussed in the context of multiple hypothesis testing and the choice of null hypothesis. LÄS MER

  3. 3. Constructing Algorithms for Constraint Satisfaction and Related Problems : Methods and Applications

    Författare :Ola Angelsmark; Peter Jonsson; Brahim Hnich; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; constraint satisfaction; CSP; graph problems; algorithm construction; computational complexity; microstructures; graph colouring; decision problems; optimisation problems; quantum computing; molecular computing; Computer science; Datavetenskap;

    Sammanfattning : In this thesis, we will discuss the construction of algorithms for solving Constraint Satisfaction Problems (CSPs), and describe two new ways of approaching them. Both approaches are based on the idea that it is sometimes faster to solve a large number of restricted problems than a single, large, problem. LÄS MER

  4. 4. Machine Learning methods in shotgun proteomics

    Författare :Patrick Truong; Lukas Käll; Peter Nilsson; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; mass spectrometry protein summarization Bayesian hierarchical modelling label-free quantification data-independent acquisition mass spectrometry; benchmark mathematical methods; transformers; computational proteomics; proteomics; bioinformatics; bert; ms2 intensity; probabilistic modelling; Biotechnology; Bioteknologi;

    Sammanfattning : As high-throughput biology experiments generate increasing amounts of data, the field is naturally turning to data-driven methods for the analysis and extraction of novel insights. These insights into biological systems are crucial for understanding disease progression, drug targets, treatment development, and diagnostics methods, ultimately leading to improving human health and well-being, as well as, deeper insight into cellular biology. LÄS MER

  5. 5. Approximation of pluricomplex Green functions : A probabilistic approach

    Författare :Azza Alghamdi; Maciej Klimek; Kaj Nyström; Anna Zdunik; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; pluricomplex Green function; pluriregular sets; Bernstein-Markov property; Bergman function; nearly orthonormal polynomials; orthogonal polynomials; Monte Carlo simulation; composite Julia sets; Julia sets; iterated function systems; the chaos game.;

    Sammanfattning : This PhD thesis focuses on probabilistic methods of approximation of pluricomplex Green functions and is based on four papers.The thesis begins with a general introduction to the use of pluricomplex Green functions in multidimensional complex analysis and a review of their main properties. LÄS MER