Sökning: "Gaussian kernel"

Visar resultat 1 - 5 av 23 avhandlingar innehållade orden Gaussian kernel.

1. 1. Probabilistic Sequence Models with Speech and Language Applications

   Författare :Gustav Eje Henter; W. Bastiaan Kleijn; Arne Leijon; Gernot Kubin; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Time series; acoustic modelling; speech synthesis; stochastic processes; causal-state splitting reconstruction; robust causal states; pattern discovery; Markov models; HMMs; nonparametric models; Gaussian processes; Gaussian process dynamical models; nonlinear Kalman filters; information theory; minimum entropy rate simplification; kernel density estimation; time-series bootstrap;

   Sammanfattning : Series data, sequences of measured values, are ubiquitous. Whenever observations are made along a path in space or time, a data sequence results. To comprehend nature and shape it to our will, or to make informed decisions based on what we know, we need methods to make sense of such data. LÄS MER

3. 2. System identification with input uncertainties : an EM kernel-based approach

   Författare :Riccardo Sven Risuleo; Håkan Hjalmarsson; Alessandro Chiuso; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering; Elektro- och systemteknik;

   Sammanfattning : Many classical problems in system identification, such as the classical predictionerror method and regularized system identification, identification of Hammersteinand cascaded systems, blind system identification, as well as errors-in-variablesproblems and estimation with missing data, can be seen as particular instancesof the general problem of the identification of systems with limited information.In this thesis, we introduce a framework for the identification of linear dynamicalsystems subject to inputs that are not perfectly known. LÄS MER

4. 3. Tailoring Gaussian processes for tomographic reconstruction

   Författare :Carl Jidling; Thomas B. Schön; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Electrical Engineering with specialization in Signal Processing; Elektroteknik med inriktning mot signalbehandling;

   Sammanfattning : A probabilistic model reasons about physical quantities as random variables that can be estimated from measured data. The Gaussian process is a respected member of this family, being a flexible non-parametric method that has proven strong capabilities in modelling a wide range of nonlinear functions. LÄS MER

5. 4. Noise sensitivity and FK-type representations for Gaussian and stable processes

   Författare :Malin Palö Forsström; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; color representation; exclusion process; color process; Noise sensitivity; threshold stable vector; volatility; noise stability; interchange process; threshold Gaussian vector; multivariate stable distribution; Bernoulli random vector; mixing time;

   Sammanfattning : This thesis contains four papers on probability theory. Paper A concerns the question of whether the exclusion sensitivity and exclusion stability of a sequence of Boolean functions are monotone with respect to adding edges to the underlying sequence of graphs. LÄS MER

7. 5. Efficient training of interpretable, non-linear regression models

   Författare :Oskar Allerbo; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; sparse regression; kernel regression; neural network regression; early stopping; bandwidth selection;

   Sammanfattning : Regression, the process of estimating functions from data, comes in many flavors. One of the most commonly used regression models is linear regression, which is computationally efficient and easy to interpret, but lacks in flexibility. LÄS MER