Sökning: "Matematisk statistik"

Visar resultat 6 - 10 av 381 avhandlingar innehållade orden Matematisk statistik.

  1. 6. Topics on Large Deviations in Artificial Intelligence

    Författare :Adam Lindhe; Henrik Hult; Jimmy Olsson; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Mathematical Statistics; Matematisk statistik;

    Sammanfattning : Artificial intelligence has become one of the most important fields of study during the last decade. Applications include medical sciences, autonomous vehicles, finance and everyday life. Therefore the analysis of convergence and stability of these algorithms is of utmost importance. LÄS MER

  3. 7. Data driven modeling in the presence of time series structure: : Improved bounds and effective algorithms

    Författare :Othmane Mazhar; Boualem Djehiche; Munther Dahleh; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Time series; Non-asymptotic estimation; Minimax; Change point detection; Hidden Markov model; State space model; Least square; Penalized Regression; Random covariance matrix; Concentration inequality; Chaining integral; Self-normalized martingale inequality; Cramér-Rao inequality; van Trees inequality; Matematisk statistik; Mathematical Statistics;

    Sammanfattning : This thesis consists of five appended papers devoted to modeling tasks where the desired models are learned from data sets with an underlying time series structure. We develop a statistical methodology for providing efficient estimators and analyzing their non-asymptotic behavior. LÄS MER

  4. 8. Probabilistic machine learning methods for automated radiation therapy treatment planning

    Författare :Tianfang Zhang; Jimmy Olsson; Steve Jiang; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Matematisk statistik; Mathematical Statistics;

    Sammanfattning : In this thesis, different parts of an automated process for radiation therapy treatment planning are investigated from a mathematical and computational perspective. Whereas traditional inverse planning is labor-intensive, often comprising several reiterations between treatment planner and physician before a plan can be approved, much of recent research have been aimed at using a data-driven approach by learning from historically delivered plans. LÄS MER

  5. 9. Approximations of Bayes Classifiers for Statistical Learning of Clusters

    Författare :Magnus Ekdahl; Timo Koski; Jukka Corander; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Pattern Recognition; Stochastic Complexity; Naïve Bayes; Bayesian Network; Classification; Clustering; Chow-Liu trees; Mathematical statistics; Matematisk statistik;

    Sammanfattning : It is rarely possible to use an optimal classifier. Often the classifier used for a specific problem is an approximation of the optimal classifier. Methods are presented for evaluating the performance of an approximation in the model class of Bayesian Networks. LÄS MER

  7. 10. On approximations and computations in probabilistic classification and in learning of graphical models

    Författare :Magnus Ekdahl; Jose Antonio Lozano; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Mathematical statistics; factorizations; probabilistic classification; nodes; DNA strings; Mathematical statistics; Matematisk statistik;

    Sammanfattning : Model based probabilistic classification is heavily used in data mining and machine learning. For computational learning these models may need approximation steps however. LÄS MER