Sökning: "Classification Model"

Visar resultat 11 - 15 av 542 avhandlingar innehållade orden Classification Model.

  1. 11. Bayesian Cluster Analysis : Some Extensions to Non-standard Situations

    Författare :Jessica Franzén; Daniel Thorburn; Jukka Corander; Stockholms universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Cluster analysis; Clustering; Classification; Mixture model; Gaussian; Bayesian inference; MCMC; Gibbs sampler; Deviant group; Longitudinal; Missing data; Multiple imputation; Statistics; Statistik; Statistics; statistik;

    Sammanfattning : The Bayesian approach to cluster analysis is presented. We assume that all data stem from a finite mixture model, where each component corresponds to one cluster and is given by a multivariate normal distribution with unknown mean and variance. LÄS MER

  3. 12. Classification, Evolution, Pharmacology and Structure of G protein-coupled Receptors

    Författare :Malin C Lagerström; Helgi B. Schiöth; Robert Fredriksson; Anthony J. Harmar; Uppsala universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Pharmacology; Classification; Structure; Pharmacology; Evolution; G protein-coupled receptor; Farmakologi; Pharmacological research; Farmakologisk forskning;

    Sammanfattning : G protein-coupled receptors (GPCR) are integral membrane proteins with seven α-helices that translate a remarkable diversity of signals into cellular responses. The superfamily of GPCRs is among the largest and most diverse protein families in vertebrates. LÄS MER

  4. 13. Krylov Subspace Methods for Linear Systems, Eigenvalues and Model Order Reduction

    Författare :Daniel Skoogh; Göteborgs universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; eigenvalues; eigenvectors; sparse; parallel; rational; Krylov; shift; invert; Arnoldi; linear systems; iterative; model; reduction; passive; 65F15; 65F50; 65Y05; 65F10; 93A30; 93B40; rational;

    Sammanfattning : New variants of Krylov subspace methods for numerical solution of linear systems, eigenvalue, and model order reduction problems are described. A new method to solve linear systems of equations with several right-hand sides is described. LÄS MER

  5. 14. On Data Mining and Classification Using a Bayesian Confidence Propagation Neural Network

    Författare :Roland Orre; KTH; []
    Nyckelord :data mining; bcpnn; classification; neural network;

    Sammanfattning : The aim of this thesis is to describe how a statisticallybased neural network technology, here named BCPNN (BayesianConfidence Propagation Neural Network), which may be identifiedby rewriting Bayes' rule, can be used within a fewapplications, data mining and classification with credibilityintervals as well as unsupervised pattern recognition.BCPNN is a neural network model somewhat reminding aboutBayesian decision trees which are often used within artificialintelligence systems. LÄS MER

  7. 15. A data-driven decision support system for coherency of experts’ judgment in complex classification problems : The case of food security as a UN sustainable development goal

    Författare :Rueben Laryea; Kenneth Carling; Lena Nerhagen; Högskolan Dalarna; []
    Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Coherence; Efficiency; Decision Support System; Multi-Criteria; Risk; Classification Model; Decision Makers; Judgment; Alternatives; Prediction; Data; Integrate; Imprecision; Food Security; UTADIS; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

    Sammanfattning : Everyday humans need to make individual or collective decisions. Often the decisions aim at achieving multiple goals (thus involving multiple criteria) and rely on the decision maker(s)’ intuition, internal data, as well as external sources of data. LÄS MER